Publish pre-release artifact card
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README.md
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---
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<!-- SPDX-License-Identifier: CC-BY-4.0 -->
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pretty_name: Microfluidic Native Physics - Reproducibility Artifacts
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language:
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- en
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- zh
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license: other
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task_categories:
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- tabular-regression
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tags:
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- microfluidics
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- droplet-generation
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- distribution-shift
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- physics-guided-machine-learning
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- applicability-domain
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- conformal-prediction
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---
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# Microfluidic Native Physics — reproducibility artifacts
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> **Publication pending.** This card is staged for the future Hugging Face
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> dataset repository
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> [Chaser111/microfluidic-native-physics](https://huggingface.co/datasets/Chaser111/microfluidic-native-physics).
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> No artifact upload is VERIFIED until the matching GitHub commit/tag, hashes,
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> source terms, and schemas are filled below.
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The canonical project, implementation, protocols, tests, and issue history are
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hosted on GitHub:
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**[LibertychaserUS/microfluidic-native-physics](https://github.com/LibertychaserUS/microfluidic-native-physics)**
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Author: **Zhiyuan Zhang**
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## Scope
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This repository is intended to mirror license-cleared reproducibility artifacts
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for a retrospective public-data study of reliability under chemistry shift in
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droplet microfluidics. Planned content includes split manifests, per-row model
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predictions, applicability scores, uncertainty bands, strict metrics tables,
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figure-source tables, and artifact hashes.
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It is not a new wet-lab dataset. It does not establish chemical compatibility,
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manufacturability, stable dripping, device safety, or prospective material or
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formulation discovery.
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## Evidence boundary
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- **V1:** a complete TX100 chemistry group was sealed. The held-out result was
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negative (MAPE 19.8436%, R-squared -0.2436, nominal 90% interval coverage
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44.83%). The reveal required a disclosed serialization-only recovery after a
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strict JSON write rejected an undefined value. Frozen predictions and labels
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were not changed.
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- **V2:** a native-variable physics-guided constrained regressor, not a
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classical PINN. TX100 was already revealed, so V2 results on TX100 are
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retrospective, not a second blind validation.
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- **Search:** retrospective ranking/retrieval of historical candidates, not
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prospective experiment-free validation.
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## Planned files
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| Path | Description | Status |
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|---|---|---|
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| `manifests/` | Source, split, environment, and artifact hashes | pending |
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| `predictions/` | Per-row predictions, intervals, and risk scores | pending |
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| `metrics/` | Strict JSON/CSV endpoint summaries | pending |
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| `figure_data/` | Tables used to regenerate paper figures | pending |
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| `README.md` | This dataset card | staged |
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Before publication, each file will list its schema, row unit, generating GitHub
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commit, source-data dependency, license boundary, and SHA-256 hash.
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## Source data
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This mirror does not relicense upstream data.
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- Chagot et al. article:
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[Lab on a Chip](https://pubs.rsc.org/en/content/articlehtml/2022/lc/d2lc00416j)
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- Chagot public tables:
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[Zenodo 7055018](https://zenodo.org/records/7055018), whose record reports
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CC BY 4.0
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- Lashkaripour et al. DAFD article:
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[Nature Communications](https://www.nature.com/articles/s41467-023-44068-3)
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- DAFD deposit used by the reproduction:
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[OSF 938rs](https://osf.io/938rs/)
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Only artifacts cleared under the applicable source terms will be uploaded.
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The GitHub project's Apache-2.0 license applies to original software code,
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tests, and configuration. Repository-authored report text and original
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figures/results use CC BY 4.0. Neither license automatically applies to upstream
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data or overrides rights retained in data-derived content.
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## Reproducibility pointer
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Pending release metadata:
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```text
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GitHub commit: PENDING
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GitHub release/tag: PENDING
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Artifact manifest SHA-256: PENDING
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Schema version: PENDING
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```
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Reproduction commands and dependency locks will live in the canonical GitHub
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repository. This HF repository will not contain an independent, drifting copy
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of the implementation.
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## Citation
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Use the canonical GitHub
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[`CITATION.cff`](https://github.com/LibertychaserUS/microfluidic-native-physics/blob/main/CITATION.cff)
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after the first tagged release. No DOI or arXiv identifier has been assigned.
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## 中文说明
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这里计划只发布经过许可核验的复现实验产物,例如逐行预测、数据切分清单、
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指标表和哈希。GitHub 是唯一主仓库,HF 不单独维护算法代码。
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V1 的整组 TX100 留出测试是负结果;V2 是“原生变量 + 物理引导 + 硬约束”,
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不是经典 PINN;所有搜索均为历史公开数据回放,没有做新的湿实验验证。
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