{"id":"W4282916733","doi":"10.2196/35587","title":"Needs, Challenges, and Applications of Artificial Intelligence in Medical Education Curriculum","year":2022,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":157,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curriculum; Position paper; Suite; Medical education; Artificial intelligence; Health care; Applications of artificial intelligence; Engineering ethics; Medicine; Psychology; Computer science; Engineering; Political science; Pedagogy","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":[0.04258488,0.0003266708,0.0004999709,0.003600533,0.00454581,0.01359888,0.002174551,0.004691051,0.00554523],"category_scores_gemma":[0.06819157,0.0004981551,0.0004405061,0.002491213,0.005441086,0.01101623,0.01051838,0.006800397,0.001277578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01181275,"about_ca_system_score_gemma":0.0510676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01019732,"about_ca_topic_score_gemma":0.01455494,"domain_scores_codex":[0.9707391,0.01545621,0.001675743,0.001396202,0.00700568,0.003727111],"domain_scores_gemma":[0.9110119,0.02722491,0.005106328,0.002098302,0.0179102,0.03664846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001334728,0.001180847,0.06255984,0.00257136,0.00004694356,0.0006050389,0.0287222,0.001718254,0.001140504,0.1411429,0.08083405,0.6793447],"study_design_scores_gemma":[0.0001307883,0.0007806194,0.1217193,0.01825679,0.00006113969,0.001530866,0.1708425,0.00759966,0.00153061,0.1981132,0.4791136,0.0003209598],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04730301,0.01487655,0.003203416,0.9041007,0.001102438,0.0001207262,0.00009589615,0.00008106639,0.02911614],"genre_scores_gemma":[0.8760787,0.02744758,0.02525476,0.06250083,0.001561296,0.0005244414,0.0002467682,0.00006822328,0.006317292],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04258488,"threshold_uncertainty_score":0.2252131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06660868501159821,"score_gpt":0.4347917440202246,"score_spread":0.3681830590086264,"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."}}