{"id":"W3199238203","doi":"10.36834/cmej.73400","title":"A new world of residency education: game changers and proven practices","year":2021,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Residency training; Computer science; Medical education; Medicine; Continuing education","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.01314425,0.0006687311,0.0004742293,0.001416367,0.008744181,0.01482595,0.001791555,0.004515094,0.01622585],"category_scores_gemma":[0.02333589,0.0004337251,0.000571828,0.000952601,0.03130261,0.01540388,0.01173838,0.009121055,0.001972956],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008073607,"about_ca_system_score_gemma":0.01081981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01937572,"about_ca_topic_score_gemma":0.0545413,"domain_scores_codex":[0.9881865,0.006912983,0.0002601166,0.0006925201,0.002641626,0.001306246],"domain_scores_gemma":[0.9830809,0.007469368,0.00116889,0.001189537,0.00192555,0.005165671],"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":[0.0002614503,0.0004499491,0.005140165,0.0008479793,0.00008171586,0.0008795442,0.05543493,0.0008603331,0.001265302,0.4571734,0.2090168,0.2685883],"study_design_scores_gemma":[0.00007873087,0.0002849672,0.004605713,0.001720526,0.00003135125,0.0006828131,0.05193772,0.0009136361,0.0005906466,0.1546141,0.7843988,0.0001409509],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03629659,0.0366621,0.01927646,0.6488848,0.006724343,0.0001235984,0.0001134706,0.0003323019,0.2515863],"genre_scores_gemma":[0.7971966,0.02705732,0.03139673,0.07476074,0.002406641,0.0002719464,0.00009690381,0.0003000356,0.06651305],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9919264,"threshold_uncertainty_score":0.06951427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02847743904109363,"score_gpt":0.3521955707593453,"score_spread":0.3237181317182517,"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."}}