{"id":"W4401715083","doi":"10.1097/ceh.0000000000000571","title":"Demystifying Artificial Intelligence for Health Care Professionals: Continuing Professional Development as an Agent of Transformation Leading to Artificial Intelligence–Augmented Practice","year":2024,"lang":"en","type":"article","venue":"Journal of Continuing Education in the Health Professions","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Health care; Lagging; Engineering ethics; Medical education; Psychology; Knowledge management; Nursing; Public relations; Medicine; Computer science; Political science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.02624667,0.0003773617,0.0002680409,0.001176809,0.005685804,0.01085189,0.001593951,0.004218822,0.006082594],"category_scores_gemma":[0.03312136,0.0003251409,0.0004063116,0.0006166782,0.01561915,0.006657134,0.01182549,0.006698179,0.001379598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004678091,"about_ca_system_score_gemma":0.03230982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003044836,"about_ca_topic_score_gemma":0.004859472,"domain_scores_codex":[0.9847739,0.01133171,0.0003799122,0.0007064597,0.001726319,0.001081802],"domain_scores_gemma":[0.9632742,0.01685347,0.002085419,0.00349138,0.003889787,0.01040569],"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":[0.00007728853,0.0009297202,0.009727556,0.0004585306,0.00003138183,0.000874358,0.1176241,0.001085785,0.002197702,0.4136074,0.05844425,0.394942],"study_design_scores_gemma":[0.00009592703,0.0004636828,0.004495769,0.001328002,0.00002537103,0.0009917843,0.05644766,0.005399955,0.001825308,0.3518743,0.5769722,0.00008005897],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0761595,0.004747644,0.09485,0.632415,0.002224735,0.0005780825,0.00003582585,0.0005033117,0.188486],"genre_scores_gemma":[0.80423,0.003429454,0.1375522,0.02595368,0.0008813948,0.0005397349,0.00005657406,0.000119044,0.02723803],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02624667,"threshold_uncertainty_score":0.1388073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1832902327046797,"score_gpt":0.550685450441934,"score_spread":0.3673952177372543,"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."}}