{"id":"W4402926610","doi":"10.1186/s12911-024-02661-6","title":"Coding rules for uncertain and “ruled out” diagnoses in ICD-10 and ICD-11","year":2024,"lang":"en","type":"article","venue":"BMC Medical Informatics and Decision Making","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research; Agency for Healthcare Research and Quality","keywords":"ICD-10; Coding (social sciences); Medical diagnosis; Documentation; Health informatics; Diagnosis code; Computer science; Medicine; Data science; Public health; Nursing; Sociology; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08053053,0.0009326355,0.001106488,0.0117831,0.003869875,0.005193626,0.003485451,0.001723261,0.005202481],"category_scores_gemma":[0.2295382,0.0006822772,0.001649592,0.009566838,0.005209057,0.003805362,0.005270406,0.005764396,0.002164802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005253546,"about_ca_system_score_gemma":0.01655993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01538693,"about_ca_topic_score_gemma":0.01799786,"domain_scores_codex":[0.851967,0.07636522,0.04108215,0.00511735,0.02268151,0.002786692],"domain_scores_gemma":[0.75111,0.1409855,0.03137689,0.02404861,0.04986959,0.002609407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005531958,0.0001809493,0.07601975,0.004162749,0.0002025757,0.002125611,0.03782154,0.003717314,0.003291855,0.3750942,0.2049177,0.2919126],"study_design_scores_gemma":[0.0002146908,0.0001847666,0.04464464,0.01370808,0.0002483157,0.004960563,0.02546669,0.01458818,0.006223542,0.3386479,0.550552,0.0005606221],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09606142,0.007860495,0.7150847,0.04668899,0.009022773,0.01198345,0.0301905,0.001788307,0.08131927],"genre_scores_gemma":[0.2468113,0.006180861,0.6997448,0.008373714,0.001131311,0.008270177,0.02258579,0.0005207999,0.006381221],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08053053,"threshold_uncertainty_score":0.4258912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2494618248725323,"score_gpt":0.5092653510982413,"score_spread":0.2598035262257091,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}