{"id":"W4414267663","doi":"10.1007/s40670-025-02517-2","title":"Medical Education, Artificial Intelligence, and Addressing the Humanity of Medical Learners","year":2025,"lang":"en","type":"article","venue":"Medical Science Educator","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McGill University Health Centre; Montreal Children's Hospital","funders":"","keywords":"Humanity; MEDLINE; Medical school; Coronavirus disease 2019 (COVID-19)","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":[0.005188351,0.0002442524,0.000251748,0.001029427,0.0022815,0.007580494,0.0005426518,0.002405828,0.005050899],"category_scores_gemma":[0.009710324,0.00009740718,0.0001792116,0.0004685647,0.01577964,0.0045914,0.00363489,0.004402273,0.0003746072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001835157,"about_ca_system_score_gemma":0.006258492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001458964,"about_ca_topic_score_gemma":0.002107531,"domain_scores_codex":[0.9966807,0.002421374,0.00006719354,0.0001293597,0.0004159836,0.0002852953],"domain_scores_gemma":[0.9900413,0.006247038,0.0008286134,0.0002564058,0.0005131827,0.002113482],"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":[0.00007281075,0.0004720344,0.01235315,0.0005531741,0.00004105287,0.0003519031,0.02771426,0.0006732734,0.0006271632,0.7979435,0.02611388,0.1330838],"study_design_scores_gemma":[0.00004259256,0.0001964112,0.007215158,0.001416965,0.00002858973,0.0008438657,0.03115749,0.0007068974,0.0008856085,0.6149043,0.3425584,0.00004378646],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1006979,0.04948368,0.008107949,0.490754,0.00187031,0.00005802259,0.00005003678,0.0000722067,0.348906],"genre_scores_gemma":[0.9257822,0.01996791,0.004875477,0.03526059,0.001426031,0.00004753879,0.00002485246,0.00002649411,0.01258897],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.007580494,"threshold_uncertainty_score":0.02743894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2466632079039914,"score_gpt":0.5124533410160792,"score_spread":0.2657901331120878,"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."}}