{"id":"W7084048190","doi":"10.15766/datasnapshot_ai_0625","title":"Artificial Intelligence Curricula in U.S. and Canadian Medical Schools","year":2025,"lang":"en","type":"report","venue":"","topic":"Botany and Geology in Latin America and Caribbean","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Curriculum; Applications of artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003956739,0.0002670321,0.0003627641,0.004654235,0.006509609,0.003568976,0.001936671,0.001125016,0.01507196],"category_scores_gemma":[0.01680102,0.0003467146,0.0003336167,0.006974461,0.001874286,0.001135551,0.003389014,0.001029587,0.00157708],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07250368,"about_ca_system_score_gemma":0.2223339,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9675066,"about_ca_topic_score_gemma":0.9881152,"domain_scores_codex":[0.9956635,0.0003696041,0.0001939162,0.0002839014,0.001808992,0.001680135],"domain_scores_gemma":[0.9606635,0.002118092,0.002059989,0.0003083706,0.009588126,0.02526196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002858089,0.0006010941,0.5206898,0.0005152675,0.00005290745,0.0002381543,0.01788532,0.001859849,0.000747695,0.018154,0.2430141,0.1959559],"study_design_scores_gemma":[0.00002626852,0.00006262375,0.8752384,0.0004419664,0.00001489159,0.00004517904,0.01791602,0.0005585609,0.000297607,0.000639429,0.1047323,0.00002668811],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6856228,0.006784613,0.0003937633,0.1092748,0.000850219,0.0003850775,0.01741591,0.0002131883,0.1790596],"genre_scores_gemma":[0.9160744,0.004769116,0.0007421405,0.004230333,0.0001813166,0.000161024,0.004693087,0.00005176145,0.06909683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9274963,"threshold_uncertainty_score":0.5260534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02479309688781922,"score_gpt":0.2779822376332363,"score_spread":0.253189140745417,"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."}}