{"id":"W4308411163","doi":"10.36834/cmej.75445","title":"Adaptive Expertise in CanMEDS 2025","year":2022,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; McGill University; Glenrose Rehabilitation Hospital; University of Saskatchewan; University of Alberta; College of Family Physicians of Canada; Royal College of Physicians and Surgeons of Canada; The Wilson Centre; McMaster University; University of Toronto","funders":"Royal College of Physicians and Surgeons of Canada","keywords":"Computer science; Data 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002883059,0.0003807099,0.00035253,0.001329684,0.0008409017,0.002937192,0.001325373,0.001270256,0.082936],"category_scores_gemma":[0.01395176,0.0002517147,0.0004389656,0.0009238111,0.0009866219,0.003087419,0.004538742,0.001039357,0.0206854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001331144,"about_ca_system_score_gemma":0.003024266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005308082,"about_ca_topic_score_gemma":0.008354408,"domain_scores_codex":[0.9978849,0.0009367543,0.0001074992,0.000313695,0.0005195092,0.0002376069],"domain_scores_gemma":[0.9956547,0.001673245,0.0001192144,0.0008640029,0.001050624,0.0006381892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001032504,0.0008698545,0.007014555,0.0006027864,0.000084716,0.0007106875,0.003139991,0.01265566,0.00447099,0.1104355,0.1910966,0.6678862],"study_design_scores_gemma":[0.0003011995,0.0003045663,0.00731001,0.0004436451,0.00008284915,0.0009738982,0.001238526,0.1121684,0.007319246,0.1348138,0.7349345,0.0001092894],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06664948,0.001445296,0.2869748,0.006527402,0.001403164,0.00132175,0.003455375,0.01950983,0.6127127],"genre_scores_gemma":[0.6293032,0.0005869943,0.1664217,0.001358113,0.000298233,0.0007581883,0.005484442,0.001430735,0.1943584],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.082936,"threshold_uncertainty_score":0.2774485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01711943975017553,"score_gpt":0.2696942903814201,"score_spread":0.2525748506312446,"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."}}