{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001064436,0.0001339279,0.0002669705,0.0005704794,0.0001339138,0.000008154303,0.0002084182,0.0001969539,0.002515732],"category_scores_gemma":[0.001265892,0.0001372407,0.00005033857,0.0009195899,0.0001898639,0.00009247503,0.00008959477,0.0006530675,0.00002377681],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002522713,"about_ca_system_score_gemma":0.008576708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009187702,"about_ca_topic_score_gemma":0.0002153567,"domain_scores_codex":[0.997345,0.0001661861,0.000842787,0.0003297138,0.001070321,0.0002460455],"domain_scores_gemma":[0.9985774,0.0001480215,0.0001865884,0.0003158945,0.0002398611,0.0005323062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003637788,0.003741234,0.003995449,0.0002285588,0.000005698478,0.000001097872,0.004885211,0.000001157301,0.00001359035,0.0490517,0.001032458,0.9370075],"study_design_scores_gemma":[0.0003328755,0.002021448,0.04602309,0.00227282,0.0001692057,0.001275755,0.496473,0.01817659,0.001019829,0.1652789,0.2657151,0.001241415],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8821316,0.01577308,0.001157147,0.090213,0.002517079,0.00302743,0.000004826809,0.00009415411,0.005081695],"genre_scores_gemma":[0.9907758,0.002532843,0.0003550238,0.002388273,0.000920203,0.00272686,0.0001315944,0.00001861339,0.0001507582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.935766,"threshold_uncertainty_score":0.9983961,"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."}}