Add hybrid SET filters to live registry space

README.md

@@ -16,6 +16,13 @@ Cross-sphere public registry for browsing studies, starter cases, and reusable a
 - `ENTREPRENEURSHIP`
 - `TECHNOLOGY`
 
+The registry now uses a two-layer model:
+
+- `primary sphere` for the study's main home
+- `hybrid combo` for interdisciplinary lanes such as `S+T`, `S+E`, `E+T`, or `S+E+T`
+
+Hugging Face is treated here as a delivery layer for live interfaces, not as a fourth sphere.
+
 Source repository:
 
 - [SPHERE-III-TECHNOLOGY](https://github.com/K-RnD-Lab/SPHERE-III-TECHNOLOGY)

app.js

@@ -2,7 +2,9 @@ const dataUrl = "./data/registry.json";
 
 const searchInput = document.getElementById("search-input");
 const sphereFilter = document.getElementById("sphere-filter");
+const comboFilter = document.getElementById("combo-filter");
 const statusFilter = document.getElementById("status-filter");
+const artifactFilter = document.getElementById("artifact-filter");
 const registryGrid = document.getElementById("registry-grid");
 const stats = document.getElementById("stats");
 const resultCount = document.getElementById("result-count");
@@ -11,43 +13,75 @@ const cardTemplate = document.getElementById("card-template");
 let registryEntries = [];
 
 function titleCase(value) {
-  return value.charAt(0).toUpperCase() + value.slice(1);
+  return value
+    .split(/[\s_-]+/)
+    .filter(Boolean)
+    .map((part) => part.charAt(0).toUpperCase() + part.slice(1))
+    .join(" ");
+}
+
+function prettyLabel(key, value) {
+  if (!value) {
+    return "";
+  }
+
+  if (key === "sphere") {
+    return titleCase(value);
+  }
+
+  if (key === "artifactType" || key === "validationStage") {
+    return titleCase(value);
+  }
+
+  return value;
 }
 
 function uniqueValues(entries, key) {
   return [...new Set(entries.map((entry) => entry[key]).filter(Boolean))].sort();
 }
 
-function fillSelect(select, values) {
+function fillSelect(select, values, key) {
   for (const value of values) {
     const option = document.createElement("option");
     option.value = value;
-    option.textContent = titleCase(value);
+    option.textContent = prettyLabel(key, value);
     select.appendChild(option);
   }
 }
 
 function buildStats(entries) {
   const bySphere = ["science", "entrepreneurship", "technology"].map((sphere) => ({
-    label: sphere,
-    value: entries.filter((entry) => entry.sphere === sphere).length,
+    label: prettyLabel("sphere", sphere),
+    value: entries.filter((entry) => entry.primarySphere === sphere).length,
+    className: sphere,
   }));
 
-  const total = { label: "total entries", value: entries.length };
-  const cards = [total, ...bySphere];
+  const cards = [
+    { label: "Total entries", value: entries.length, className: "total" },
+    ...bySphere,
+    {
+      label: "Hybrid lanes",
+      value: entries.filter((entry) => entry.combo.includes("+")).length,
+      className: "hybrid",
+    },
+  ];
 
   stats.innerHTML = "";
   for (const card of cards) {
     const wrapper = document.createElement("article");
-    wrapper.className = "stat";
+    wrapper.className = `stat ${card.className}`;
     wrapper.innerHTML = `
       <div class="stat-value">${card.value}</div>
-      <div class="stat-label">${titleCase(card.label)}</div>
+      <div class="stat-label">${card.label}</div>
     `;
     stats.appendChild(wrapper);
   }
 }
 
+function setText(target, value) {
+  target.textContent = value && value.length ? value : "—";
+}
+
 function renderCards(entries) {
   registryGrid.innerHTML = "";
   resultCount.textContent = `${entries.length} result${entries.length === 1 ? "" : "s"}`;
@@ -62,24 +96,38 @@ function renderCards(entries) {
 
   for (const entry of entries) {
     const fragment = cardTemplate.content.cloneNode(true);
-    const card = fragment.querySelector(".card");
     const sphereBadge = fragment.querySelector(".badge.sphere");
+    const comboBadge = fragment.querySelector(".badge.combo");
     const statusBadge = fragment.querySelector(".badge.status");
     const title = fragment.querySelector(".title");
     const summary = fragment.querySelector(".summary");
     const track = fragment.querySelector(".track");
-    const entryType = fragment.querySelector(".entry-type");
+    const artifactType = fragment.querySelector(".artifact-type");
+    const secondarySpheres = fragment.querySelector(".secondary-spheres");
+    const deliveryLayers = fragment.querySelector(".delivery-layers");
+    const validationStage = fragment.querySelector(".validation-stage");
     const tags = fragment.querySelector(".tags");
     const links = fragment.querySelector(".links");
 
-    sphereBadge.textContent = titleCase(entry.sphere);
-    sphereBadge.classList.add(entry.sphere);
-    statusBadge.textContent = titleCase(entry.status);
+    sphereBadge.textContent = prettyLabel("sphere", entry.primarySphere);
+    sphereBadge.classList.add(entry.primarySphere);
+    comboBadge.textContent = entry.combo;
+    comboBadge.classList.add(`combo-${entry.combo.toLowerCase().replace(/\+/g, "-")}`);
+    statusBadge.textContent = prettyLabel("status", entry.status);
+
     title.textContent = entry.title;
     summary.textContent = entry.summary;
-    track.textContent = entry.track;
-    entryType.textContent = entry.entryType;
-    tags.textContent = entry.tags.join(", ");
+    setText(track, entry.track);
+    setText(artifactType, prettyLabel("artifactType", entry.artifactType));
+    setText(
+      secondarySpheres,
+      entry.secondarySpheres.length
+        ? entry.secondarySpheres.map((item) => prettyLabel("sphere", item)).join(", ")
+        : "",
+    );
+    setText(deliveryLayers, entry.deliveryLayers.join(", "));
+    setText(validationStage, prettyLabel("validationStage", entry.validationStage));
+    setText(tags, entry.tags.join(", "));
 
     for (const link of entry.links) {
       const anchor = document.createElement("a");
@@ -97,20 +145,32 @@ function renderCards(entries) {
 function applyFilters() {
   const query = searchInput.value.trim().toLowerCase();
   const sphere = sphereFilter.value;
+  const combo = comboFilter.value;
   const status = statusFilter.value;
+  const artifact = artifactFilter.value;
 
   const filtered = registryEntries.filter((entry) => {
-    const matchesSphere = sphere === "all" || entry.sphere === sphere;
+    const matchesSphere = sphere === "all" || entry.primarySphere === sphere;
+    const matchesCombo = combo === "all" || entry.combo === combo;
     const matchesStatus = status === "all" || entry.status === status;
+    const matchesArtifact = artifact === "all" || entry.artifactType === artifact;
     const haystack = [
       entry.title,
       entry.summary,
       entry.track,
       entry.entryType,
+      entry.primarySphere,
+      entry.combo,
+      entry.artifactType,
+      entry.validationStage,
+      ...entry.secondarySpheres,
+      ...entry.deliveryLayers,
       ...entry.tags,
-    ].join(" ").toLowerCase();
+    ]
+      .join(" ")
+      .toLowerCase();
     const matchesQuery = !query || haystack.includes(query);
-    return matchesSphere && matchesStatus && matchesQuery;
+    return matchesSphere && matchesCombo && matchesStatus && matchesArtifact && matchesQuery;
   });
 
   renderCards(filtered);
@@ -120,14 +180,18 @@ async function init() {
   const response = await fetch(dataUrl);
   registryEntries = await response.json();
 
-  fillSelect(sphereFilter, uniqueValues(registryEntries, "sphere"));
-  fillSelect(statusFilter, uniqueValues(registryEntries, "status"));
+  fillSelect(sphereFilter, uniqueValues(registryEntries, "primarySphere"), "sphere");
+  fillSelect(comboFilter, uniqueValues(registryEntries, "combo"), "combo");
+  fillSelect(statusFilter, uniqueValues(registryEntries, "status"), "status");
+  fillSelect(artifactFilter, uniqueValues(registryEntries, "artifactType"), "artifactType");
   buildStats(registryEntries);
   renderCards(registryEntries);
 
   searchInput.addEventListener("input", applyFilters);
   sphereFilter.addEventListener("change", applyFilters);
+  comboFilter.addEventListener("change", applyFilters);
   statusFilter.addEventListener("change", applyFilters);
+  artifactFilter.addEventListener("change", applyFilters);
 }
 
 init().catch((error) => {

data/registry.json

@@ -1,15 +1,17 @@
 [
   {
-    "title": "🔬 K R&D Lab — SPHERE I / SCIENCE",
+    "title": "SPHERE-I-SCIENCE",
     "sphere": "science",
     "track": "Root sphere repo",
     "entryType": "repository",
-    "status": "scaffold",
+    "status": "active",
     "summary": "Computational science research across oncology, plant science, metabolomics, neuroscience, ecology, and life systems.",
     "tags": [
       "science",
       "root sphere repo",
-      "lab",
+      "s",
+      "repository",
+      "sphere-i-science",
       "computational",
       "oncology"
     ],
@@ -22,7 +24,15 @@
         "label": "README",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/blob/main/README.md"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [],
+    "combo": "S",
+    "artifactType": "repository",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "taxonomy"
   },
   {
     "title": "S1 Biomedical And Oncology",
@@ -34,6 +44,8 @@
     "tags": [
       "science",
       "s1",
+      "s",
+      "lane",
       "biomedical",
       "oncology",
       "translational"
@@ -47,7 +59,15 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/tree/main/S1%20%E2%80%94%20%F0%9F%A9%BA%20%20Biomedical%20%26%20Oncology"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [],
+    "combo": "S",
+    "artifactType": "lane",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "taxonomy"
   },
   {
     "title": "OpenVariant: An Open-Source Variant Pathogenicity Classifier Benchmarked Against AlphaMissense",
@@ -59,6 +79,8 @@
     "tags": [
       "science",
       "s1-a-r1",
+      "s+t",
+      "research-tool",
       "openvariant",
       "open-source",
       "variant"
@@ -72,7 +94,17 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/tree/main/S1%20%E2%80%94%20%F0%9F%A9%BA%20%20Biomedical%20%26%20Oncology/S1-A%20%C2%B7%20%F0%9F%A7%AC%20PHYLO-GENOMICS/S1-A-R1%20%C2%B7%20Variant%20classification/R1a-openvariant"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [
+      "technology"
+    ],
+    "combo": "S+T",
+    "artifactType": "research_tool",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "prototype"
   },
   {
     "title": "Identification of Tumor Suppressor miRNAs Silenced in BRCA2-Mutant Breast Cancer: A Multi-Dataset Meta-Analysis",
@@ -84,6 +116,8 @@
     "tags": [
       "science",
       "s1-b-r1",
+      "s",
+      "hypothesis",
       "identification",
       "tumor",
       "suppressor"
@@ -97,7 +131,15 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/tree/main/S1%20%E2%80%94%20%F0%9F%A9%BA%20%20Biomedical%20%26%20Oncology/S1-B%20%C2%B7%20%F0%9F%94%AC%20PHYLO-RNA/S1-B-R1%20%C2%B7%20miRNA%20silencing/R1a-brca2-mirna"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [],
+    "combo": "S",
+    "artifactType": "hypothesis",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "exploratory"
   },
   {
     "title": "Computational Identification of siRNA Synthetic Lethal Targets in TP53-Mutant Lung Adenocarcinoma",
@@ -109,6 +151,8 @@
     "tags": [
       "science",
       "s1-b-r2",
+      "s+e+t",
+      "research-tool",
       "computational",
       "identification",
       "sirna"
@@ -122,7 +166,18 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/tree/main/S1%20%E2%80%94%20%F0%9F%A9%BA%20%20Biomedical%20%26%20Oncology/S1-B%20%C2%B7%20%F0%9F%94%AC%20PHYLO-RNA/S1-B-R2%20%C2%B7%20siRNA%20SL/R2a-tp53-sirna"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [
+      "entrepreneurship",
+      "technology"
+    ],
+    "combo": "S+E+T",
+    "artifactType": "research_tool",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "prototype"
   },
   {
     "title": "lncRNA Regulatory Networks Controlling TREM2-Dependent Microglial Inflammation: Implications for Alzheimer's Therapy",
@@ -134,6 +189,8 @@
     "tags": [
       "science",
       "s1-b-r3",
+      "s",
+      "hypothesis",
       "lncrna",
       "regulatory",
       "networks"
@@ -147,7 +204,15 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/tree/main/S1%20%E2%80%94%20%F0%9F%A9%BA%20%20Biomedical%20%26%20Oncology/S1-B%20%C2%B7%20%F0%9F%94%AC%20PHYLO-RNA/S1-B-R3%20%C2%B7%20lncRNA%20%2B%20ASO/R3a-lncrna-trem2"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [],
+    "combo": "S",
+    "artifactType": "hypothesis",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "exploratory"
   },
   {
     "title": "Computational Discovery of Small Molecules Targeting FGFR3 mRNA for Bladder Cancer",
@@ -159,6 +224,8 @@
     "tags": [
       "science",
       "s1-c-r1",
+      "s+t",
+      "research-tool",
       "computational",
       "discovery",
       "small"
@@ -172,7 +239,17 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/tree/main/S1%20%E2%80%94%20%F0%9F%A9%BA%20%20Biomedical%20%26%20Oncology/S1-C%20%C2%B7%20%F0%9F%92%8A%20PHYLO-DRUG/S1-C-R1%20%C2%B7%20RNA-directed%20drug/R1a-fgfr3-rna-drug"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [
+      "technology"
+    ],
+    "combo": "S+T",
+    "artifactType": "research_tool",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "prototype"
   },
   {
     "title": "Machine Learning Prediction of Protein Corona Composition in Lipid Nanoparticles from Physicochemical Properties",
@@ -184,6 +261,8 @@
     "tags": [
       "science",
       "s1-d-r1",
+      "s+t",
+      "research-tool",
       "machine",
       "learning",
       "prediction"
@@ -197,7 +276,17 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/tree/main/S1%20%E2%80%94%20%F0%9F%A9%BA%20%20Biomedical%20%26%20Oncology/S1-D%20%C2%B7%20%F0%9F%A7%AA%20PHYLO-LNP/S1-D-R1%20%C2%B7%20Serum%20corona/R1a-lnp-corona-ml"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [
+      "technology"
+    ],
+    "combo": "S+T",
+    "artifactType": "research_tool",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "prototype"
   },
   {
     "title": "Machine Learning Prediction of Protein Corona Composition in Lipid Nanoparticles from Physicochemical Properties",
@@ -209,6 +298,8 @@
     "tags": [
       "science",
       "s1-d-r2",
+      "s",
+      "hypothesis",
       "machine",
       "learning",
       "prediction"
@@ -222,7 +313,15 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/tree/main/S1%20%E2%80%94%20%F0%9F%A9%BA%20%20Biomedical%20%26%20Oncology/S1-D%20%C2%B7%20%F0%9F%A7%AA%20PHYLO-LNP/S1-D-R2%20%C2%B7%20Flow%20corona/R2a-flow-corona/study1"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [],
+    "combo": "S",
+    "artifactType": "hypothesis",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "exploratory"
   },
   {
     "title": "Predicting Protein Corona Remodeling in Lipid Nanoparticles Under Physiological Flow: Closing the Static-Dynamic Gap",
@@ -234,6 +333,8 @@
     "tags": [
       "science",
       "s1-d-r2",
+      "s+t",
+      "research-tool",
       "predicting",
       "protein",
       "corona"
@@ -247,7 +348,17 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/tree/main/S1%20%E2%80%94%20%F0%9F%A9%BA%20%20Biomedical%20%26%20Oncology/S1-D%20%C2%B7%20%F0%9F%A7%AA%20PHYLO-LNP/S1-D-R2%20%C2%B7%20Flow%20corona/R2a-flow-corona/study2"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [
+      "technology"
+    ],
+    "combo": "S+T",
+    "artifactType": "research_tool",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "prototype"
   },
   {
     "title": "Ionizable Lipid Properties Predicting ApoE Enrichment in LNP Protein Corona for Blood-Brain Barrier Crossing in Glioblastoma",
@@ -259,6 +370,8 @@
     "tags": [
       "science",
       "s1-d-r3",
+      "s+t",
+      "research-tool",
       "ionizable",
       "lipid",
       "properties"
@@ -272,7 +385,17 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/tree/main/S1%20%E2%80%94%20%F0%9F%A9%BA%20%20Biomedical%20%26%20Oncology/S1-D%20%C2%B7%20%F0%9F%A7%AA%20PHYLO-LNP/S1-D-R3%20%C2%B7%20Brain%20BBB/R3a-lnp-bbb"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [
+      "technology"
+    ],
+    "combo": "S+T",
+    "artifactType": "research_tool",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "prototype"
   },
   {
     "title": "AutoCorona: An NLP Pipeline for Automated Extraction of LNP Protein Corona Data from Scientific Literature",
@@ -284,6 +407,8 @@
     "tags": [
       "science",
       "s1-d-r4",
+      "s+t",
+      "research-tool",
       "autocorona",
       "nlp",
       "pipeline"
@@ -297,7 +422,17 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/tree/main/S1%20%E2%80%94%20%F0%9F%A9%BA%20%20Biomedical%20%26%20Oncology/S1-D%20%C2%B7%20%F0%9F%A7%AA%20PHYLO-LNP/S1-D-R4%20%C2%B7%20NLP/R4a-autocorona-nlp/project2_autocorona"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [
+      "technology"
+    ],
+    "combo": "S+T",
+    "artifactType": "research_tool",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "prototype"
   },
   {
     "title": "K R&D Lab — LNP Corona Research Projects",
@@ -309,6 +444,8 @@
     "tags": [
       "science",
       "s1-d-r4",
+      "s+t",
+      "research-tool",
       "lab",
       "lnp",
       "corona"
@@ -322,7 +459,17 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/tree/main/S1%20%E2%80%94%20%F0%9F%A9%BA%20%20Biomedical%20%26%20Oncology/S1-D%20%C2%B7%20%F0%9F%A7%AA%20PHYLO-LNP/S1-D-R4%20%C2%B7%20NLP/R4a-autocorona-nlp"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [
+      "technology"
+    ],
+    "combo": "S+T",
+    "artifactType": "research_tool",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "prototype"
   },
   {
     "title": "Machine Learning Prediction of Protein Corona Composition in Lipid Nanoparticles from Physicochemical Properties",
@@ -334,6 +481,8 @@
     "tags": [
       "science",
       "s1-d-r4",
+      "s",
+      "hypothesis",
       "machine",
       "learning",
       "prediction"
@@ -347,7 +496,15 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/tree/main/S1%20%E2%80%94%20%F0%9F%A9%BA%20%20Biomedical%20%26%20Oncology/S1-D%20%C2%B7%20%F0%9F%A7%AA%20PHYLO-LNP/S1-D-R4%20%C2%B7%20NLP/R4a-autocorona-nlp/project1_lnp_ml"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [],
+    "combo": "S",
+    "artifactType": "hypothesis",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "scaffold"
   },
   {
     "title": "Machine Learning Prediction of LNP Transfection Efficacy from Physicochemical and Formulation Features",
@@ -359,6 +516,8 @@
     "tags": [
       "science",
       "s1-e-r1",
+      "s+e",
+      "hypothesis",
       "machine",
       "learning",
       "prediction"
@@ -372,7 +531,17 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/tree/main/S1%20%E2%80%94%20%F0%9F%A9%BA%20%20Biomedical%20%26%20Oncology/S1-E%20%C2%B7%20%F0%9F%A9%B8%20PHYLO-BIOMARKERS/S1-E-R1%20%C2%B7%20Liquid%20biopsy/R1a-liquid-biopsy/project1_lnp_transfection"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [
+      "entrepreneurship"
+    ],
+    "combo": "S+E",
+    "artifactType": "hypothesis",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "exploratory"
   },
   {
     "title": "Protein Corona Fingerprinting of Lipid Nanoparticles as a Liquid Biopsy Biomarker: Distinguishing Cancer Patients from Healthy Individuals Using Machine Learning",
@@ -384,6 +553,8 @@
     "tags": [
       "science",
       "s1-e-r1",
+      "s+e",
+      "hypothesis",
       "protein",
       "corona",
       "fingerprinting"
@@ -397,7 +568,17 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/tree/main/S1%20%E2%80%94%20%F0%9F%A9%BA%20%20Biomedical%20%26%20Oncology/S1-E%20%C2%B7%20%F0%9F%A9%B8%20PHYLO-BIOMARKERS/S1-E-R1%20%C2%B7%20Liquid%20biopsy/R1a-liquid-biopsy/project2_corona_biopsy"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [
+      "entrepreneurship"
+    ],
+    "combo": "S+E",
+    "artifactType": "hypothesis",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "exploratory"
   },
   {
     "title": "S2 Plant Science & Phytochemistry",
@@ -409,6 +590,8 @@
     "tags": [
       "science",
       "s2",
+      "s",
+      "lane",
       "plant",
       "phytochemistry",
       "covers"
@@ -422,7 +605,15 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/tree/main/S2%20%E2%80%94%20%F0%9F%8C%BF%20Plant%20Science%20%26%20Phytochemistry"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [],
+    "combo": "S",
+    "artifactType": "lane",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "taxonomy"
   },
   {
     "title": "S3 Agricultural Biology & Biofertilizers",
@@ -434,6 +625,8 @@
     "tags": [
       "science",
       "s3",
+      "s+t",
+      "lane",
       "agricultural",
       "biology",
       "biofertilizers"
@@ -447,7 +640,17 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/tree/main/S3%20%E2%80%94%20%F0%9F%8C%BE%20Agricultural%20Biology%20%26%20Biofertilizers"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [
+      "technology"
+    ],
+    "combo": "S+T",
+    "artifactType": "lane",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "taxonomy"
   },
   {
     "title": "S4 Biochemistry & Metabolomics",
@@ -459,6 +662,8 @@
     "tags": [
       "science",
       "s4",
+      "s",
+      "lane",
       "biochemistry",
       "metabolomics",
       "cross-organism"
@@ -472,7 +677,15 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/tree/main/S4%20%E2%80%94%20%E2%9A%97%EF%B8%8F%20Biochemistry%20%26%20Metabolomics"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [],
+    "combo": "S",
+    "artifactType": "lane",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "taxonomy"
   },
   {
     "title": "S5 Neuroscience & Aging",
@@ -484,6 +697,8 @@
     "tags": [
       "science",
       "s5",
+      "s+t",
+      "lane",
       "neuroscience",
       "aging",
       "covers"
@@ -497,7 +712,17 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/tree/main/S5%20%E2%80%94%20%F0%9F%A7%A0%20Neuroscience%20%26%20Aging"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [
+      "technology"
+    ],
+    "combo": "S+T",
+    "artifactType": "lane",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "taxonomy"
   },
   {
     "title": "S6 Ecology & Environmental Science",
@@ -509,6 +734,8 @@
     "tags": [
       "science",
       "s6",
+      "s",
+      "lane",
       "ecology",
       "environmental",
       "covers"
@@ -522,7 +749,15 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/tree/main/S6%20%E2%80%94%20%F0%9F%8C%8D%20Ecology%20%26%20Environmental%20Science"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [],
+    "combo": "S",
+    "artifactType": "lane",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "taxonomy"
   },
   {
     "title": "📚 S7 - K Life OS",
@@ -534,6 +769,8 @@
     "tags": [
       "science",
       "s7",
+      "s+t",
+      "lane",
       "life",
       "science-facing",
       "measurable"
@@ -547,7 +784,17 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/tree/main/S7%20%E2%80%94%20%F0%9F%93%9A%20K%20Life%20OS"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [
+      "technology"
+    ],
+    "combo": "S+T",
+    "artifactType": "lane",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "taxonomy"
   },
   {
     "title": "S7-A · 🚀 Creativity or Self-Expression",
@@ -559,6 +806,8 @@
     "tags": [
       "science",
       "s7-a",
+      "s",
+      "hypothesis",
       "creativity",
       "self-expression",
       "sub-lane"
@@ -572,7 +821,15 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/tree/main/S7%20%E2%80%94%20%F0%9F%93%9A%20K%20Life%20OS/S7-A%20%C2%B7%20%F0%9F%9A%80%20Creativity%20or%20Self-Expression"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [],
+    "combo": "S",
+    "artifactType": "hypothesis",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "exploratory"
   },
   {
     "title": "S7-B · 👨‍🏫 Personal Development or Self-Care",
@@ -584,6 +841,8 @@
     "tags": [
       "science",
       "s7-b",
+      "s",
+      "hypothesis",
       "personal",
       "development",
       "self-care"
@@ -597,7 +856,15 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/tree/main/S7%20%E2%80%94%20%F0%9F%93%9A%20K%20Life%20OS/S7-B%20%C2%B7%20%F0%9F%91%A8%E2%80%8D%F0%9F%8F%AB%20Personal%20Development%20or%20Self-Care"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [],
+    "combo": "S",
+    "artifactType": "hypothesis",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "exploratory"
   },
   {
     "title": "S7-C · 🏠 Domestic Life or Household",
@@ -609,6 +876,8 @@
     "tags": [
       "science",
       "s7-c",
+      "s",
+      "hypothesis",
       "domestic",
       "life",
       "household"
@@ -622,7 +891,15 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/tree/main/S7%20%E2%80%94%20%F0%9F%93%9A%20K%20Life%20OS/S7-C%20%C2%B7%20%F0%9F%8F%A0%20Domestic%20Life%20or%20Household"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [],
+    "combo": "S",
+    "artifactType": "hypothesis",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "exploratory"
   },
   {
     "title": "S7-D · 💵 Finance",
@@ -634,6 +911,8 @@
     "tags": [
       "science",
       "s7-d",
+      "s",
+      "hypothesis",
       "finance",
       "sub-lane",
       "inside"
@@ -647,7 +926,15 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/tree/main/S7%20%E2%80%94%20%F0%9F%93%9A%20K%20Life%20OS/S7-D%20%C2%B7%20%F0%9F%92%B5%20Finance"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [],
+    "combo": "S",
+    "artifactType": "hypothesis",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "exploratory"
   },
   {
     "title": "S7-E · 🤝 Parenting or Family",
@@ -659,6 +946,8 @@
     "tags": [
       "science",
       "s7-e",
+      "s",
+      "hypothesis",
       "parenting",
       "family",
       "sub-lane"
@@ -672,7 +961,15 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/tree/main/S7%20%E2%80%94%20%F0%9F%93%9A%20K%20Life%20OS/S7-E%20%C2%B7%20%F0%9F%A4%9D%20Parenting%20or%20Family"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [],
+    "combo": "S",
+    "artifactType": "hypothesis",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "exploratory"
   },
   {
     "title": "S7-F · 📚 Recreation and Hobbies",
@@ -684,6 +981,8 @@
     "tags": [
       "science",
       "s7-f",
+      "s",
+      "hypothesis",
       "recreation",
       "hobbies",
       "sub-lane"
@@ -697,7 +996,15 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/tree/main/S7%20%E2%80%94%20%F0%9F%93%9A%20K%20Life%20OS/S7-F%20%C2%B7%20%F0%9F%93%9A%20Recreation%20and%20Hobbies"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [],
+    "combo": "S",
+    "artifactType": "hypothesis",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "exploratory"
   },
   {
     "title": "S7-G · 👤 Community Involvement",
@@ -709,6 +1016,8 @@
     "tags": [
       "science",
       "s7-g",
+      "s",
+      "hypothesis",
       "community",
       "involvement",
       "sub-lane"
@@ -722,7 +1031,15 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/tree/main/S7%20%E2%80%94%20%F0%9F%93%9A%20K%20Life%20OS/S7-G%20%C2%B7%20%F0%9F%91%A4%20Community%20Involvement"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [],
+    "combo": "S",
+    "artifactType": "hypothesis",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "exploratory"
   },
   {
     "title": "S7-H · 🌳 Physical Health",
@@ -734,6 +1051,8 @@
     "tags": [
       "science",
       "s7-h",
+      "s",
+      "hypothesis",
       "physical",
       "health",
       "sub-lane"
@@ -747,7 +1066,15 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/tree/main/S7%20%E2%80%94%20%F0%9F%93%9A%20K%20Life%20OS/S7-H%20%C2%B7%20%F0%9F%8C%B3%20Physical%20Health"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [],
+    "combo": "S",
+    "artifactType": "hypothesis",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "exploratory"
   },
   {
     "title": "R1 - Master Prep Analytics",
@@ -759,6 +1086,8 @@
     "tags": [
       "science",
       "s7-i",
+      "s+t",
+      "research-tool",
       "master",
       "prep",
       "analytics"
@@ -772,7 +1101,17 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/tree/main/S7%20%E2%80%94%20%F0%9F%93%9A%20K%20Life%20OS/S7-I%20%C2%B7%20%F0%9F%94%8E%20Career%20or%20Education/R1%20-%20Master%20Prep%20Analytics"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [
+      "technology"
+    ],
+    "combo": "S+T",
+    "artifactType": "research_tool",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "live"
   },
   {
     "title": "S7-I · 🔎 Career or Education",
@@ -784,6 +1123,8 @@
     "tags": [
       "science",
       "s7-i",
+      "s",
+      "hypothesis",
       "career",
       "education",
       "sub-lane"
@@ -797,7 +1138,15 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/tree/main/S7%20%E2%80%94%20%F0%9F%93%9A%20K%20Life%20OS/S7-I%20%C2%B7%20%F0%9F%94%8E%20Career%20or%20Education"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [],
+    "combo": "S",
+    "artifactType": "hypothesis",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "exploratory"
   },
   {
     "title": "S7-J · 🌿 Environmental or Charity",
@@ -809,6 +1158,8 @@
     "tags": [
       "science",
       "s7-j",
+      "s",
+      "hypothesis",
       "environmental",
       "charity",
       "sub-lane"
@@ -822,7 +1173,15 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/tree/main/S7%20%E2%80%94%20%F0%9F%93%9A%20K%20Life%20OS/S7-J%20%C2%B7%20%F0%9F%8C%BF%20Environmental%20or%20Charity"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [],
+    "combo": "S",
+    "artifactType": "hypothesis",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "exploratory"
   },
   {
     "title": "S7-K · 👥 Personal Relationship",
@@ -834,6 +1193,8 @@
     "tags": [
       "science",
       "s7-k",
+      "s",
+      "hypothesis",
       "personal",
       "relationship",
       "sub-lane"
@@ -847,7 +1208,15 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/tree/main/S7%20%E2%80%94%20%F0%9F%93%9A%20K%20Life%20OS/S7-K%20%C2%B7%20%F0%9F%91%A5%20Personal%20Relationship"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [],
+    "combo": "S",
+    "artifactType": "hypothesis",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "exploratory"
   },
   {
     "title": "S7-L · 🧘 Spirituality",
@@ -859,6 +1228,8 @@
     "tags": [
       "science",
       "s7-l",
+      "s",
+      "hypothesis",
       "spirituality",
       "sub-lane",
       "inside"
@@ -872,7 +1243,15 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/tree/main/S7%20%E2%80%94%20%F0%9F%93%9A%20K%20Life%20OS/S7-L%20%C2%B7%20%F0%9F%A7%98%20Spirituality"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [],
+    "combo": "S",
+    "artifactType": "hypothesis",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "exploratory"
   },
   {
     "title": "S7-M · 🧭 Longitudinal Reviews & Life Wheel Synthesis",
@@ -884,6 +1263,8 @@
     "tags": [
       "science",
       "s7-m",
+      "s",
+      "hypothesis",
       "longitudinal",
       "reviews",
       "life"
@@ -897,7 +1278,15 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE/tree/main/S7%20%E2%80%94%20%F0%9F%93%9A%20K%20Life%20OS/S7-M%20%C2%B7%20%F0%9F%A7%AD%20Longitudinal%20Reviews%20%26%20Life%20Wheel%20Synthesis"
       }
-    ]
+    ],
+    "primarySphere": "science",
+    "secondarySpheres": [],
+    "combo": "S",
+    "artifactType": "hypothesis",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "exploratory"
   },
   {
     "title": "SPHERE-II-ENTREPRENEURSHIP",
@@ -909,6 +1298,8 @@
     "tags": [
       "entrepreneurship",
       "root sphere repo",
+      "e",
+      "repository",
       "sphere-ii-entrepreneurship",
       "applied",
       "venture"
@@ -922,7 +1313,15 @@
         "label": "README",
         "href": "https://github.com/K-RnD-Lab/SPHERE-II-ENTREPRENEURSHIP/blob/main/README.md"
       }
-    ]
+    ],
+    "primarySphere": "entrepreneurship",
+    "secondarySpheres": [],
+    "combo": "E",
+    "artifactType": "repository",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "taxonomy"
   },
   {
     "title": "R1a Lab-to-Market Opportunity Map",
@@ -934,6 +1333,8 @@
     "tags": [
       "entrepreneurship",
       "e1-r1",
+      "s+e",
+      "venture-case",
       "r1a",
       "lab-to-market",
       "opportunity"
@@ -947,7 +1348,17 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-II-ENTREPRENEURSHIP/tree/main/E1%20-%20Venture%2C%20Product%20%26%20Opportunity%20Systems/E1-R1%20-%20Opportunity%20Mapping%20%26%20Problem%20Framing/R1a-lab-to-market-opportunity-map"
       }
-    ]
+    ],
+    "primarySphere": "entrepreneurship",
+    "secondarySpheres": [
+      "science"
+    ],
+    "combo": "S+E",
+    "artifactType": "venture_case",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "exploratory"
   },
   {
     "title": "R1a Translational Audience Segments",
@@ -959,6 +1370,8 @@
     "tags": [
       "entrepreneurship",
       "e2-r1",
+      "s+e+t",
+      "venture-case",
       "r1a",
       "translational",
       "audience"
@@ -972,18 +1385,31 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-II-ENTREPRENEURSHIP/tree/main/E2%20-%20Market%2C%20Audience%20%26%20Behavioral%20Intelligence/E2-R1%20-%20Audience%20Segmentation/R1a-translational-audience-segments"
       }
-    ]
+    ],
+    "primarySphere": "entrepreneurship",
+    "secondarySpheres": [
+      "science",
+      "technology"
+    ],
+    "combo": "S+E+T",
+    "artifactType": "venture_case",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "scaffold"
   },
   {
     "title": "R1a Bio-AI Translation Landscape",
     "sphere": "entrepreneurship",
     "track": "E3-R1",
     "entryType": "public case",
-    "status": "scaffold",
+    "status": "active",
     "summary": "Which ecosystems, conferences, partners, and open communities matter most for translating K R&D Lab work across science, tooling, and applied public cases?",
     "tags": [
       "entrepreneurship",
       "e3-r1",
+      "s+e+t",
+      "public-case",
       "r1a",
       "bio-ai",
       "translation"
@@ -997,18 +1423,31 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-II-ENTREPRENEURSHIP/tree/main/E3%20-%20Ecosystem%2C%20Partnerships%20%26%20External%20Signals/E3-R1%20-%20Ecosystem%20Mapping/R1a-bio-ai-translation-landscape"
       }
-    ]
+    ],
+    "primarySphere": "entrepreneurship",
+    "secondarySpheres": [
+      "science",
+      "technology"
+    ],
+    "combo": "S+E+T",
+    "artifactType": "public_case",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "active_case"
   },
   {
     "title": "R1a Three-Sphere Research Ops Case",
     "sphere": "entrepreneurship",
     "track": "E4-A",
     "entryType": "public case",
-    "status": "scaffold",
+    "status": "active",
     "summary": "How should K R&D Lab structure research, tooling, and public-facing artifacts across GitHub and Hugging Face so the whole ecosystem stays navigable, testable, and reusable?",
     "tags": [
       "entrepreneurship",
       "e4-a",
+      "s+e+t",
+      "public-case",
       "r1a",
       "three-sphere",
       "ops"
@@ -1022,18 +1461,31 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-II-ENTREPRENEURSHIP/tree/main/E4%20-%20Applied%20Investigations%20%26%20Public%20Cases/E4-A%20-%20Systems%20%26%20Workflow%20Cases/R1a-three-sphere-research-ops-case"
       }
-    ]
+    ],
+    "primarySphere": "entrepreneurship",
+    "secondarySpheres": [
+      "science",
+      "technology"
+    ],
+    "combo": "S+E+T",
+    "artifactType": "public_case",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "active_case"
   },
   {
     "title": "SPHERE-III-TECHNOLOGY",
     "sphere": "technology",
     "track": "Root sphere repo",
     "entryType": "repository",
-    "status": "scaffold",
+    "status": "active",
     "summary": "Reusable research tools, scoring systems, dashboards, and open infrastructure for K R&D Lab.",
     "tags": [
       "technology",
       "root sphere repo",
+      "t",
+      "repository",
       "sphere-iii-technology",
       "reusable",
       "tools"
@@ -1047,7 +1499,15 @@
         "label": "README",
         "href": "https://github.com/K-RnD-Lab/SPHERE-III-TECHNOLOGY/blob/main/README.md"
       }
-    ]
+    ],
+    "primarySphere": "technology",
+    "secondarySpheres": [],
+    "combo": "T",
+    "artifactType": "repository",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "taxonomy"
   },
   {
     "title": "R1a Bioinformatics Pipeline Template",
@@ -1059,6 +1519,8 @@
     "tags": [
       "technology",
       "t1-r1",
+      "s+t",
+      "tool",
       "r1a",
       "bioinformatics",
       "pipeline"
@@ -1072,7 +1534,17 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-III-TECHNOLOGY/tree/main/T1%20-%20Research%20Tools%2C%20ML%20%26%20Analytical%20Engines/T1-R1%20-%20Reusable%20Analytical%20Engines/R1a-bioinformatics-pipeline-template"
       }
-    ]
+    ],
+    "primarySphere": "technology",
+    "secondarySpheres": [
+      "science"
+    ],
+    "combo": "S+T",
+    "artifactType": "tool",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "prototype"
   },
   {
     "title": "R1a Study Readiness Scoring",
@@ -1084,6 +1556,8 @@
     "tags": [
       "technology",
       "t2-r1",
+      "s+t",
+      "scoring-system",
       "r1a",
       "readiness",
       "scoring"
@@ -1097,7 +1571,17 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-III-TECHNOLOGY/tree/main/T2%20-%20Reproducibility%2C%20Scoring%20%26%20Method%20Systems/T2-R1%20-%20Research%20Gap%20Scoring/R1a-study-readiness-scoring"
       }
-    ]
+    ],
+    "primarySphere": "technology",
+    "secondarySpheres": [
+      "science"
+    ],
+    "combo": "S+T",
+    "artifactType": "scoring_system",
+    "deliveryLayers": [
+      "GitHub"
+    ],
+    "validationStage": "prototype"
   },
   {
     "title": "R1a Study Registry Dashboard Template",
@@ -1109,9 +1593,11 @@
     "tags": [
       "technology",
       "t3-r1",
+      "s+e+t",
+      "dashboard",
       "r1a",
       "registry",
-      "dashboard"
+      "minimal"
     ],
     "links": [
       {
@@ -1122,6 +1608,18 @@
         "label": "Folder",
         "href": "https://github.com/K-RnD-Lab/SPHERE-III-TECHNOLOGY/tree/main/T3%20-%20Dashboards%2C%20Interfaces%20%26%20Open%20Infrastructure/T3-R1%20-%20Dashboard%20Templates%20%26%20Public%20Interfaces/R1a-study-registry-dashboard-template"
       }
-    ]
+    ],
+    "primarySphere": "technology",
+    "secondarySpheres": [
+      "science",
+      "entrepreneurship"
+    ],
+    "combo": "S+E+T",
+    "artifactType": "dashboard",
+    "deliveryLayers": [
+      "GitHub",
+      "Hugging Face"
+    ],
+    "validationStage": "live prototype"
   }
 ]

index.html

@@ -15,6 +15,11 @@
           A first public registry scaffold for browsing studies, starter cases, and reusable assets
           across SCIENCE, ENTREPRENEURSHIP, and TECHNOLOGY.
         </p>
+        <p class="sublede">
+          Each entry keeps one primary home sphere while also showing hybrid combos such as
+          <strong>S+T</strong> or <strong>S+E+T</strong> when the work crosses research, venture, and
+          tooling layers.
+        </p>
         <div class="hero-links">
           <a href="https://github.com/K-RnD-Lab/SPHERE-I-SCIENCE" target="_blank" rel="noreferrer">SCIENCE</a>
           <a href="https://github.com/K-RnD-Lab/SPHERE-II-ENTREPRENEURSHIP" target="_blank" rel="noreferrer">ENTREPRENEURSHIP</a>
@@ -28,17 +33,29 @@
           <input id="search-input" type="search" placeholder="Search studies, tracks, or tags">
         </label>
         <label>
-          <span>Sphere</span>
+          <span>Home sphere</span>
           <select id="sphere-filter">
             <option value="all">All</option>
           </select>
         </label>
+        <label>
+          <span>Hybrid combo</span>
+          <select id="combo-filter">
+            <option value="all">All</option>
+          </select>
+        </label>
         <label>
           <span>Status</span>
           <select id="status-filter">
             <option value="all">All</option>
           </select>
         </label>
+        <label>
+          <span>Artifact type</span>
+          <select id="artifact-filter">
+            <option value="all">All</option>
+          </select>
+        </label>
       </section>
 
       <section class="stats" id="stats"></section>
@@ -48,6 +65,9 @@
           <h2>Registry Entries</h2>
           <p id="result-count">Loading...</p>
         </div>
+        <p class="registry-note">
+          Hugging Face is treated as a delivery layer for live demos and interfaces, not as a fourth sphere.
+        </p>
         <div id="registry-grid" class="registry-grid"></div>
       </section>
     </main>
@@ -56,18 +76,31 @@
       <article class="card">
         <div class="card-top">
           <span class="badge sphere"></span>
+          <span class="badge combo"></span>
           <span class="badge status"></span>
         </div>
         <h3 class="title"></h3>
         <p class="summary"></p>
         <dl class="meta">
           <div>
-            <dt>Track</dt>
+            <dt>Home track</dt>
             <dd class="track"></dd>
           </div>
           <div>
-            <dt>Type</dt>
-            <dd class="entry-type"></dd>
+            <dt>Artifact</dt>
+            <dd class="artifact-type"></dd>
+          </div>
+          <div>
+            <dt>Secondary spheres</dt>
+            <dd class="secondary-spheres"></dd>
+          </div>
+          <div>
+            <dt>Delivery</dt>
+            <dd class="delivery-layers"></dd>
+          </div>
+          <div>
+            <dt>Validation</dt>
+            <dd class="validation-stage"></dd>
           </div>
           <div>
             <dt>Tags</dt>

styles.css

@@ -68,6 +68,13 @@ body {
   line-height: 1.55;
 }
 
+.sublede {
+  max-width: 760px;
+  margin-top: 14px;
+  color: var(--ink);
+  line-height: 1.55;
+}
+
 .hero-links {
   display: flex;
   gap: 12px;
@@ -90,7 +97,7 @@ body {
   margin-top: 18px;
   padding: 20px;
   display: grid;
-  grid-template-columns: 2fr 1fr 1fr;
+  grid-template-columns: 2fr repeat(4, minmax(0, 1fr));
   gap: 14px;
 }
 
@@ -115,7 +122,7 @@ body {
 .stats {
   margin: 18px 0;
   display: grid;
-  grid-template-columns: repeat(4, minmax(0, 1fr));
+  grid-template-columns: repeat(5, minmax(0, 1fr));
   gap: 12px;
 }
 
@@ -127,6 +134,22 @@ body {
   box-shadow: var(--shadow);
 }
 
+.stat.science {
+  border-color: rgba(30, 122, 94, 0.2);
+}
+
+.stat.entrepreneurship {
+  border-color: rgba(181, 107, 45, 0.2);
+}
+
+.stat.technology {
+  border-color: rgba(36, 79, 143, 0.2);
+}
+
+.stat.hybrid {
+  border-color: rgba(101, 63, 153, 0.2);
+}
+
 .stat-value {
   font-size: 30px;
   font-weight: 700;
@@ -154,6 +177,12 @@ body {
   margin: 0;
 }
 
+.registry-note {
+  margin: 0 0 20px;
+  color: var(--muted);
+  line-height: 1.5;
+}
+
 .registry-grid {
   display: grid;
   grid-template-columns: repeat(3, minmax(0, 1fr));
@@ -187,6 +216,11 @@ body {
   background: rgba(19, 33, 28, 0.08);
 }
 
+.badge.combo {
+  background: rgba(101, 63, 153, 0.12);
+  color: #653f99;
+}
+
 .badge.science {
   background: rgba(30, 122, 94, 0.12);
   color: var(--science);
@@ -202,6 +236,26 @@ body {
   color: var(--technology);
 }
 
+.badge.combo-s-t {
+  background: rgba(36, 79, 143, 0.1);
+  color: #244f8f;
+}
+
+.badge.combo-s-e {
+  background: rgba(181, 107, 45, 0.12);
+  color: #8c4f16;
+}
+
+.badge.combo-e-t {
+  background: rgba(91, 84, 173, 0.12);
+  color: #4b45a5;
+}
+
+.badge.combo-s-e-t {
+  background: rgba(118, 67, 111, 0.12);
+  color: #6b3564;
+}
+
 .title {
   margin: 0;
   font-size: 22px;
@@ -215,6 +269,7 @@ body {
 
 .meta {
   display: grid;
+  grid-template-columns: repeat(2, minmax(0, 1fr));
   gap: 8px;
   margin: 0;
 }
@@ -257,4 +312,8 @@ body {
   .registry-grid {
     grid-template-columns: 1fr;
   }
+
+  .meta {
+    grid-template-columns: 1fr;
+  }
 }