{"id":"W4210802745","doi":"10.1007/s43678-021-00259-9","title":"Canadian emergency medicine physician burnout: a survey of Canadian emergency physicians during the second wave of the COVID-19 pandemic","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Healthcare professionals’ stress and burnout","field":"Health Professions","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital; Canadian Medical Association; Impact; Centre intégré de santé et de services sociaux de Chaudière-Appalaches; Université Laval; Institut Universitaire en Santé Mentale de Québec; University of Toronto; Hamilton Health Sciences; Queen's University; McMaster University; Public Health Ontario","funders":"","keywords":"Depersonalization; Burnout; Emotional exhaustion; Medicine; Pandemic; Family medicine; Demographics; Logistic regression; Emergency department; Psychiatry; Coronavirus disease 2019 (COVID-19); Demography; Clinical psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001838533,0.0004605756,0.0005108899,0.0020647,0.004530371,0.001454567,0.001569152,0.001681804,0.002050209],"category_scores_gemma":[0.005445831,0.0007276942,0.000642274,0.0048891,0.0009379788,0.0007840464,0.001929178,0.001723393,0.000297301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02713398,"about_ca_system_score_gemma":0.03705297,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9848092,"about_ca_topic_score_gemma":0.9920042,"domain_scores_codex":[0.9972964,0.0002074354,0.0001502021,0.0001978296,0.001021371,0.00112683],"domain_scores_gemma":[0.9949156,0.0002470493,0.001041784,0.0000659312,0.002005973,0.001723677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001164435,0.0001608166,0.9724554,0.0001300796,0.00007265926,0.0002065124,0.01714584,0.00007810053,0.000274367,0.0001074966,0.004836627,0.00441552],"study_design_scores_gemma":[0.000004977688,0.0000190585,0.98847,0.00004174502,0.000006180947,0.00003080945,0.010132,0.00004997154,0.0000164018,0.00000520028,0.001211506,0.00001220352],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918181,0.0007035367,0.00006562922,0.002046906,0.0000524871,0.000114442,0.002148812,0.000005478725,0.003044641],"genre_scores_gemma":[0.9958057,0.0008551076,0.0001566559,0.0011259,0.00002869704,0.00007907216,0.001058316,0.000005797831,0.0008845723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02713398,"threshold_uncertainty_score":0.1968717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1999438344513607,"score_gpt":0.4296016935121116,"score_spread":0.2296578590607509,"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."}}