{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009276083,0.00007278003,0.00009717479,0.0004142112,0.0004194901,0.00008869644,0.0006976235,0.00004039911,0.007979468],"category_scores_gemma":[0.001194588,0.0000747219,0.00003827514,0.0003941443,0.00001928877,0.000173606,0.00005506342,0.0008705927,0.00003548342],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001412628,"about_ca_system_score_gemma":0.03601069,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03269014,"about_ca_topic_score_gemma":0.01234204,"domain_scores_codex":[0.9984035,0.0002411961,0.0002534556,0.0001656255,0.0006109918,0.0003251562],"domain_scores_gemma":[0.9970763,0.00002768755,0.00007331952,0.000142033,0.00008875217,0.002591964],"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":[0.000005228872,0.0001310757,0.002659106,0.000004825506,0.00001853376,0.0006732446,0.0155635,0.0009985374,0.000008756403,0.2231809,0.1795097,0.5772465],"study_design_scores_gemma":[0.0001613731,0.00007115364,0.001851899,0.00007084492,0.000001087558,0.0008696372,0.003677932,0.01114608,0.000005242071,0.0005710219,0.9814222,0.0001515111],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.124582,0.01744273,0.3124346,0.3599016,0.08628398,0.001385693,0.00001455653,0.0002342225,0.09772068],"genre_scores_gemma":[0.9730312,0.00001433069,0.001042051,0.01463897,0.0006609754,0.00004832795,0.000001304415,0.00000862731,0.01055419],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8484493,"threshold_uncertainty_score":0.9929274,"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."}}