{"id":"W2742126603","doi":"10.36834/cmej.36858","title":"Watering CanMEDS flowers","year":2017,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Burnout; Key (lock); Medical education; Medical profession; Medicine; Psychology; Computer science; Clinical psychology; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.003897578,0.0003319216,0.0003515836,0.0008782027,0.02737999,0.004885522,0.001301893,0.003865157,0.008505824],"category_scores_gemma":[0.009439357,0.000221034,0.0003549933,0.001249837,0.01959654,0.0043462,0.003522167,0.004802543,0.0004684631],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04145929,"about_ca_system_score_gemma":0.03576682,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8297395,"about_ca_topic_score_gemma":0.9298044,"domain_scores_codex":[0.9967148,0.001054084,0.0000513285,0.0003070094,0.0009451917,0.0009275171],"domain_scores_gemma":[0.9934253,0.002603322,0.0004655639,0.0002218286,0.001728223,0.001555915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001256809,0.00004410828,0.006051024,0.0004026482,0.00002270489,0.001588565,0.4216757,0.0002615526,0.001927784,0.3717535,0.1535249,0.04262178],"study_design_scores_gemma":[0.00001023498,0.00002479151,0.006526626,0.0004561033,0.00001930047,0.0001719843,0.1634316,0.0002291449,0.0005925692,0.01412286,0.8143413,0.00007353522],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1445802,0.009765258,0.00575794,0.5724182,0.00523365,0.00008804957,0.0002755305,0.0001452071,0.2617361],"genre_scores_gemma":[0.9112043,0.002026384,0.002266117,0.04384879,0.0003240784,0.00003482284,0.00003856353,0.00006322932,0.04019377],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9585407,"threshold_uncertainty_score":0.3425264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0821557911900156,"score_gpt":0.4526631851595433,"score_spread":0.3705073939695277,"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."}}