{"id":"W4200037840","doi":"10.2196/31043","title":"Artificial Intelligence Education Programs for Health Care Professionals: Scoping Review","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":244,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health; The Wilson Centre; Vector Institute; Michener Institute; Public Health Ontario; University of Toronto; University Health Network","funders":"Government of Canada","keywords":"Intervention (counseling); Medical education; Process (computing); Health care; Professional development; Psychology; Medicine; Computer science; Nursing; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007228052,0.0001739254,0.0004006273,0.0001034978,0.0002700246,0.00003445993,0.0001237231,0.0002064335,0.0008377047],"category_scores_gemma":[0.003292992,0.0001609498,0.0001395759,0.000597984,0.00007975176,0.0001325784,0.00002837876,0.0003345402,0.00008926538],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004292975,"about_ca_system_score_gemma":0.05622617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009875228,"about_ca_topic_score_gemma":0.0002111285,"domain_scores_codex":[0.9972131,0.0001652106,0.001076958,0.0004997271,0.0006572519,0.0003877224],"domain_scores_gemma":[0.9969794,0.0001458401,0.0002730204,0.0004078078,0.001533989,0.0006600037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00003208461,0.001904772,0.000359056,0.020072,0.000007754441,5.876933e-7,0.003135773,5.606966e-8,0.000006073469,0.001521228,0.02377158,0.949189],"study_design_scores_gemma":[0.0001171017,0.001548481,0.0008523999,0.7508174,0.0002577825,0.0004051484,0.1305619,0.0004077436,0.009845556,0.01141534,0.09264246,0.001128698],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04112596,0.2832586,0.006777844,0.6361756,0.01216628,0.01848699,0.000007538315,0.0003159971,0.001685159],"genre_scores_gemma":[0.6461682,0.02659202,0.02514835,0.2499226,0.01314628,0.02718314,0.008626416,0.0001774118,0.003035587],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9480603,"threshold_uncertainty_score":0.9491242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1903954971509181,"score_gpt":0.5782136194019586,"score_spread":0.3878181222510405,"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."}}