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    "domain": "claim-bound-structural",
    "title_hint": "Let the Prototype Guide You: Robust Aggregation of Sparse Multi-Class Annotations via Annotator Prototype Learning",
    "structured_mse": 0.002550117387713496,
    "rel_param_err": 0.021755569726670265,
    "d": 11,
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    "claim_snippet": "Across 11 real-world crowdsourcing datasets, PTBCC attains an average accuracy of 0.7472, versus 0.7175 for FGBCC, 0.7132 for BWA, and 0.6986 for majority voting (Table 4)."
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  "orid": "KJq0iScNM6",
  "space_id": "neonforestmist/ptbcc-prototype-truth-inference-repro",
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  "repaired_at": "2026-07-27T19:06:18.932556+00:00"
}