{"id":"W4365458831","doi":"10.1093/jamia/ocad064","title":"Mapping 3 procedure coding systems to the International Classification of Health Interventions (ICHI): coverage and challenges","year":2023,"lang":"en","type":"article","venue":"Journal of the American Medical Informatics Association","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Health Information","funders":"U.S. National Library of Medicine; Patient-Centered Outcomes Research Institute; Intramural Research Program; National Institutes of Health; Kaiser Permanente","keywords":"SNOMED CT; Coding (social sciences); Computer science; Consistency (knowledge bases); Psychological intervention; Diagnosis code; Redundancy (engineering); Data mining; Medicine; Artificial intelligence; Mathematics; Statistics; Terminology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.05947886,0.0007734295,0.0008830749,0.01348245,0.001573208,0.003692813,0.0030768,0.001113755,0.002475035],"category_scores_gemma":[0.2173067,0.0004709402,0.001421144,0.02718225,0.002287034,0.004001914,0.004591525,0.00205086,0.0006171103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008621097,"about_ca_system_score_gemma":0.0221974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06214734,"about_ca_topic_score_gemma":0.05383347,"domain_scores_codex":[0.9120583,0.03836334,0.01354484,0.006267037,0.02767988,0.002086647],"domain_scores_gemma":[0.776067,0.1188073,0.03641479,0.02103642,0.0458699,0.001804509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004424185,0.000153261,0.3407963,0.005718187,0.0004643906,0.0004520644,0.01484527,0.005638793,0.003334648,0.03740794,0.02883811,0.5619087],"study_design_scores_gemma":[0.0001689232,0.0006112472,0.5837051,0.01703181,0.0008596862,0.003010596,0.03920936,0.04484113,0.01183034,0.07667296,0.2214567,0.0006021275],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4411711,0.01099887,0.4193085,0.02982374,0.001663457,0.003771581,0.03603542,0.002541614,0.05468562],"genre_scores_gemma":[0.6346338,0.004519939,0.3283271,0.003363434,0.0002650935,0.003191983,0.0232435,0.0008715684,0.001583491],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.06214734,"threshold_uncertainty_score":0.314558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2557472243060515,"score_gpt":0.4550775718519668,"score_spread":0.1993303475459153,"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."}}