{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0189771,0.001277206,0.000882088,0.00507876,0.004095191,0.0129725,0.002818129,0.005391206,0.01634619],"category_scores_gemma":[0.03546254,0.0006032159,0.0005663203,0.003984385,0.007600854,0.01491264,0.008490456,0.006456919,0.007964101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003304545,"about_ca_system_score_gemma":0.01071761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003054901,"about_ca_topic_score_gemma":0.005124453,"domain_scores_codex":[0.9880885,0.008528462,0.0008356686,0.0003489378,0.001798544,0.0003998643],"domain_scores_gemma":[0.9721247,0.01595852,0.001366332,0.002032033,0.003543401,0.004974978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008025007,0.0002465514,0.001878047,0.001339193,0.00003480143,0.0003649376,0.01203425,0.0005870694,0.001231704,0.1624203,0.4778945,0.3418884],"study_design_scores_gemma":[0.00006150038,0.0001047836,0.001102849,0.00159375,0.00003415388,0.0007528099,0.00875252,0.002261855,0.0005981165,0.1054475,0.8792101,0.00008008123],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.005799443,0.009850708,0.3440753,0.4911384,0.008318093,0.001205359,0.00115591,0.01282702,0.1256298],"genre_scores_gemma":[0.06818987,0.005519831,0.8402323,0.04469821,0.005094708,0.001767242,0.001082919,0.0007258235,0.03268901],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0189771,"threshold_uncertainty_score":0.1003617,"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."}}