{"id":"W4393246003","doi":"10.37964/cr24776","title":"HEALTH INFORMATICS: AI in health care: a tool for physician leaders","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Physician Leadership","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health informatics; Health care; Informatics; Medicine; Health Administration Informatics; Family medicine; Nursing; Medical education; Data science; Computer science; Political science; Public health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002131887,0.0003412502,0.0008874369,0.001072617,0.0008851648,0.00008407191,0.0005165416,0.0002413306,0.00003346188],"category_scores_gemma":[0.0003127236,0.0003419007,0.0003168732,0.0009456226,0.0002659006,0.0007471057,0.00001403963,0.002245068,0.0002355769],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005342091,"about_ca_system_score_gemma":0.03208247,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03557271,"about_ca_topic_score_gemma":0.2783717,"domain_scores_codex":[0.9939497,0.0006424296,0.002701378,0.0002680702,0.0003784637,0.002060029],"domain_scores_gemma":[0.996407,0.0007254996,0.0008775482,0.0003465204,0.0005046868,0.00113875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001057208,0.00003756223,0.003582085,0.01681371,0.0001097061,0.0000653137,0.4927121,0.000657871,0.000017208,0.01992157,0.1829656,0.2830116],"study_design_scores_gemma":[0.0006790613,0.001035853,0.0009898918,0.01204654,0.00002423745,0.00001090602,0.6414346,0.00244079,0.00005486935,0.005001463,0.3357073,0.0005745036],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09808158,0.07107471,0.01295876,0.7812243,0.02005762,0.01106929,0.00107363,0.00033706,0.004123073],"genre_scores_gemma":[0.8868046,0.00005460381,0.0006888191,0.1094743,0.002506873,0.00007346261,0.00004138629,0.0001013636,0.000254588],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7887231,"threshold_uncertainty_score":0.9999033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2211521202425484,"score_gpt":0.4573957545327484,"score_spread":0.2362436342902,"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."}}