{ "stage": 4, "model_path": "models/stage4-bert-tiny-ner-improved", "records": 40, "patterns": 10, "overall": { "true_positive": 62.0, "gold_spans": 98.0, "predicted_spans": 114.0, "precision": 0.543859649122807, "recall": 0.6326530612244898, "f1": 0.5849056603773586 }, "error_counts": { "boundary": 18, "false_positive": 20, "missed_entity": 4, "wrong_label": 14 }, "label_confusions": { "LOCATION->ORGANIZATION": 1, "ORGANIZATION->PRODUCT": 1, "ORGANIZATION->WORKOFART": 1, "PERSON->PRODUCT": 1, "PRODUCT->ORGANIZATION": 3, "PRODUCT->PERSON": 1, "PRODUCT->WORKOFART": 1, "TIMEDATE->ORGANIZATION": 1, "TIMEDATE->PRODUCT": 1, "WORKOFART->LOCATION": 1, "WORKOFART->ORGANIZATION": 1, "WORKOFART->PERSON": 1 }, "by_pattern": { "amount_boundary": { "records": 4, "metrics": { "true_positive": 8.0, "gold_spans": 8.0, "predicted_spans": 8.0, "precision": 1.0, "recall": 1.0, "f1": 1.0 }, "error_counts": {}, "records_with_errors": 0 }, "company_product": { "records": 4, "metrics": { "true_positive": 4.0, "gold_spans": 10.0, "predicted_spans": 10.0, "precision": 0.4, "recall": 0.4, "f1": 0.4000000000000001 }, "error_counts": { "boundary": 1, "false_positive": 1, "missed_entity": 1, "wrong_label": 4 }, "records_with_errors": 4 }, "institution_context": { "records": 4, "metrics": { "true_positive": 7.0, "gold_spans": 9.0, "predicted_spans": 11.0, "precision": 0.6363636363636364, "recall": 0.7777777777777778, "f1": 0.7000000000000001 }, "error_counts": { "boundary": 1, "false_positive": 2, "wrong_label": 1 }, "records_with_errors": 3 }, "job_boundary": { "records": 4, "metrics": { "true_positive": 8.0, "gold_spans": 13.0, "predicted_spans": 16.0, "precision": 0.5, "recall": 0.6153846153846154, "f1": 0.5517241379310345 }, "error_counts": { "boundary": 5, "false_positive": 3 }, "records_with_errors": 3 }, "namedness_repetition": { "records": 4, "metrics": { "true_positive": 8.0, "gold_spans": 9.0, "predicted_spans": 9.0, "precision": 0.8888888888888888, "recall": 0.8888888888888888, "f1": 0.8888888888888888 }, "error_counts": { "wrong_label": 1 }, "records_with_errors": 1 }, "person_alias_handle": { "records": 4, "metrics": { "true_positive": 9.0, "gold_spans": 12.0, "predicted_spans": 12.0, "precision": 0.75, "recall": 0.75, "f1": 0.75 }, "error_counts": { "boundary": 1, "wrong_label": 2 }, "records_with_errors": 2 }, "product_work": { "records": 4, "metrics": { "true_positive": 2.0, "gold_spans": 9.0, "predicted_spans": 17.0, "precision": 0.11764705882352941, "recall": 0.2222222222222222, "f1": 0.15384615384615383 }, "error_counts": { "boundary": 2, "false_positive": 9, "missed_entity": 1, "wrong_label": 4 }, "records_with_errors": 4 }, "software_namedness": { "records": 4, "metrics": { "true_positive": 6.0, "gold_spans": 10.0, "predicted_spans": 11.0, "precision": 0.5454545454545454, "recall": 0.6, "f1": 0.5714285714285713 }, "error_counts": { "boundary": 1, "false_positive": 2, "missed_entity": 1, "wrong_label": 2 }, "records_with_errors": 3 }, "timedate_boundary": { "records": 4, "metrics": { "true_positive": 8.0, "gold_spans": 10.0, "predicted_spans": 12.0, "precision": 0.6666666666666666, "recall": 0.8, "f1": 0.7272727272727272 }, "error_counts": { "boundary": 2, "false_positive": 2 }, "records_with_errors": 2 }, "work_title_boundary": { "records": 4, "metrics": { "true_positive": 2.0, "gold_spans": 8.0, "predicted_spans": 8.0, "precision": 0.25, "recall": 0.25, "f1": 0.25 }, "error_counts": { "boundary": 5, "false_positive": 1, "missed_entity": 1 }, "records_with_errors": 4 } }, "method": "Forty fresh, manually gold-labeled policy probes; exact character-span comparison; errors classified by deterministic overlap rules and then manually reviewed." }