{
  "format": "topos-scope-head-1",
  "kind": "encoder",
  "labels": [
    "activity:read",
    "ai_conversations:read",
    "attention:read",
    "availability:read",
    "complexity:read",
    "contacts:resolve",
    "health:read",
    "messages:read",
    "places:read",
    "public_bio:read",
    "relationship_context:read",
    "resources:read",
    "schedule:read",
    "work_context:read",
    "none"
  ],
  "base_model": "distilbert-base-uncased",
  "embedding_model": "",
  "tau_high": 0.7,
  "tau_low": 0.5499999999999999,
  "max_length": 64,
  "corpus_manifest": {
    "corpora": [
      {
        "source": "schema-grounded (G3)",
        "licence": "internal",
        "url": "-",
        "rows": 2767,
        "note": "the only source for the nine uncovered scopes; `train` split only (2767 of 5987) \u2014 the rest belongs to the benchmark"
      },
      {
        "source": "compound positives (B1)",
        "licence": "internal",
        "url": "-",
        "rows": 2545,
        "note": "multi-scope conjunctions of train-split parents at 0.92x positives; the corpus was 100% single-label and trained AGAINST co-activation (multi-gold recall 0.165 vs 0.356 single)"
      },
      {
        "source": "negative twins (G4)",
        "licence": "internal",
        "url": "-",
        "rows": 1660,
        "note": "third-party + generalize at 0.60x positives (3544 available); teaches 'whose data', which M1 found rung 1 cannot represent"
      },
      {
        "source": "concept negatives (G4b)",
        "licence": "internal",
        "url": "-",
        "rows": 397,
        "note": "mechanism + definition frames over the positives' own concept vocabulary; replaces the mined QA band, which yielded 102 usable rows from 119,700 questions and reached only 8 of 14 scopes"
      },
      {
        "source": "AmazonScience/massive",
        "licence": "CC BY-4.0",
        "url": "https://amazon-massive-nlu-dataset.s3.amazonaws.com/amazon-massive-dataset-1.1.tar.gz",
        "rows": 5200,
        "note": "en-US only; positives cue-filtered (see POSITIVE_CUES)"
      },
      {
        "source": "clinc/oos-eval",
        "licence": "CC BY-3.0",
        "url": "https://raw.githubusercontent.com/clinc/oos-eval/master/data/data_full.json",
        "rows": 1200,
        "note": "all `none`; the OOS split is the near-miss anchor"
      }
    ],
    "total_rows": 13769,
    "attribution_required": [
      "AmazonScience/massive",
      "clinc/oos-eval"
    ]
  },
  "metrics": {
    "n": 1071,
    "macro_f1": 0.6127984463644067,
    "exact": 0.5583566760037348,
    "negatives_abstained": 0.9407114624505929,
    "scopes_below_floor": [
      "ai_conversations:read",
      "availability:read",
      "complexity:read",
      "health:read",
      "places:read",
      "relationship_context:read",
      "resources:read",
      "work_context:read"
    ],
    "recall_single_gold": 0.5021645021645021,
    "recall_multi_gold": 0.5964912280701754,
    "multi_gap": -0.09432672590567326,
    "dead_rate": 0.1491442542787286,
    "disjoint_rate": 0.2063758389261745,
    "threshold": 0.7
  },
  "trained_at": "2026-08-16"
}