kpfbert-ner / threshold_policy.json
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Fix Korean ID context dependence and publish new independent evaluation
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{
"version": "threshold_policy_calibration_v4_conservative",
"model": "townboy/kpfbert-ner",
"calibration_data": "private synthetic calibration set (3,960 documents)",
"matching": "BIO prediction converted to character offsets; exact label/start/end matching; confidence=min token probability",
"confidence": "minimum token probability in predicted entity span",
"policy_summary": {
"initial_mode": "Only labels with zero V4 FP and >=10 TP at confidence >=0.999 may auto-accept; all other NER candidates route to SLLM",
"future_mode": "middle band => SLLM; below low may be discarded only when future_discard_below_low_allowed=true; high-risk labels never discard below low",
"important_limit": "Gold entities with no NER candidate (FN) cannot be recovered by candidate-level thresholds; document-level fallback is required.",
"low_rule": "floor(max(0.60, min(0.85, TP confidence p01)), 3 decimals)",
"high_rule": "auto enabled only if V4 raw FP=0, V4 TP>=100, and confidence>=0.999 band has >=10 TP and 0 FP",
"precision_targets": {
"high": 0.995,
"medium": 0.985,
"low": 0.98
},
"conservative_reason": "The broader empirical precision policy reached only 0.9825 auto precision on diagnostic holdout V2, below its 0.995 target"
},
"high_risk_labels": [
"ACCOUNT_NUMBER",
"ADDRESS",
"ALIEN_NUMBER",
"CARD_NUMBER",
"EMAIL",
"PASSPORTNUM",
"PHONE",
"RRN"
],
"medium_risk_labels": [
"BIRTHDATE",
"CITY",
"DRIVER_LICENSE",
"EMPLOYEE_ID",
"IP_ADDRESS",
"MEMBER_ID",
"NAME",
"NATIONALITY",
"NICKNAME",
"PARTICIPANT_ID",
"SCHOOL",
"USER_ID",
"WORKPLACE",
"ZIPCODE"
],
"labels": {
"ACCOUNT_NUMBER": {
"risk_tier": "high",
"low": 0.6,
"high": 1.0,
"routing": {
"confidence_gte_high": "SLLM",
"low_lte_confidence_lt_high": "SLLM",
"confidence_lt_low_initial": "SLLM",
"confidence_lt_low_future": "SLLM"
},
"auto_accept_enabled": false,
"future_discard_below_low_allowed": false,
"precision_target": 0.995,
"calibration": {
"gold": 150,
"tp": 141,
"fp": 28,
"fn": 9,
"raw_precision": 0.834319526627219,
"raw_recall": 0.94,
"raw_f1": 0.8840125391849529,
"tp_p01": 0.5279600262641907,
"tp_p05": 0.7730298042297363,
"fp_p95": 0.9650364160537719,
"fp_p99": 0.989805857539177,
"tp_below_low": 3,
"tp_below_low_rate": 0.02127659574468085,
"fp_below_low": 14,
"auto_band": {
"tp": 83,
"fp": 0,
"precision": 1.0,
"coverage": 0.5886524822695035,
"wilson95_lower": 0.9557631365612794
}
},
"routing_counts_initial": {
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"auto_accept_fp": 0,
"sllm_candidates": 169,
"discarded_candidates": 0
},
"routing_counts_future": {
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"auto_accept_fp": 0,
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"discarded_candidates": 0,
"discarded_tp": 0,
"discarded_fp": 0
},
"conservative_auto_band": {
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"precision": null,
"coverage": 0.0,
"rule": "V4 raw FP=0, V4 TP>=100, confidence>=0.999 TP>=10, confidence>=0.999 FP=0"
}
},
"ADDRESS": {
"risk_tier": "high",
"low": 0.85,
"high": 1.0,
"routing": {
"confidence_gte_high": "SLLM",
"low_lte_confidence_lt_high": "SLLM",
"confidence_lt_low_initial": "SLLM",
"confidence_lt_low_future": "SLLM"
},
"auto_accept_enabled": false,
"future_discard_below_low_allowed": false,
"precision_target": 0.995,
"calibration": {
"gold": 100,
"tp": 98,
"fp": 5,
"fn": 2,
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"raw_recall": 0.98,
"raw_f1": 0.9655172413793104,
"tp_p01": 0.989485747218132,
"tp_p05": 0.99609954059124,
"fp_p95": 0.9989572048187256,
"fp_p99": 0.999220905303955,
"tp_below_low": 0,
"tp_below_low_rate": 0.0,
"fp_below_low": 1,
"auto_band": {
"tp": 0,
"fp": 0,
"precision": null,
"coverage": 0.0,
"wilson95_lower": null
}
},
"routing_counts_initial": {
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"sllm_candidates": 103,
"discarded_candidates": 0
},
"routing_counts_future": {
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"discarded_candidates": 0,
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},
"conservative_auto_band": {
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"rule": "V4 raw FP=0, V4 TP>=100, confidence>=0.999 TP>=10, confidence>=0.999 FP=0"
}
},
"AGE": {
"risk_tier": "low",
"low": 0.85,
"high": 1.0,
"routing": {
"confidence_gte_high": "SLLM",
"low_lte_confidence_lt_high": "SLLM",
"confidence_lt_low_initial": "SLLM",
"confidence_lt_low_future": "DISCARD_ALLOWED"
},
"auto_accept_enabled": false,
"future_discard_below_low_allowed": true,
"precision_target": 0.98,
"calibration": {
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"auto_band": {
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"wilson95_lower": 0.9626454664260378
}
},
"routing_counts_initial": {
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},
"routing_counts_future": {
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},
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}
},
"ALIEN_NUMBER": {
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"low": 0.618,
"high": 1.0,
"routing": {
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},
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}
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},
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"rule": "V4 raw FP=0, V4 TP>=100, confidence>=0.999 TP>=10, confidence>=0.999 FP=0"
}
},
"BIRTHDATE": {
"risk_tier": "medium",
"low": 0.85,
"high": 1.0,
"routing": {
"confidence_gte_high": "SLLM",
"low_lte_confidence_lt_high": "SLLM",
"confidence_lt_low_initial": "SLLM",
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},
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}
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}
},
"BLOOD_TYPE": {
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},
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}
},
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}
},
"CITY": {
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}
},
"DEPARTMENT": {
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}
},
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},
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}
},
"EMPLOYEE_ID": {
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},
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