{"id":"W2789941358","doi":"10.1503/cmaj.109-5556","title":"Addressing physician burnout at the systems level","year":2018,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Healthcare professionals’ stress and burnout","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Burnout; Medicine; Medical education; Data science; Computer science; Psychology; Clinical psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.004921481,0.0003089539,0.000344079,0.0008422575,0.004762343,0.002174659,0.0005781606,0.00202326,0.00474572],"category_scores_gemma":[0.01447256,0.0002066062,0.000364016,0.0007083386,0.001192418,0.001625018,0.004980545,0.003138693,0.0007011189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004379209,"about_ca_system_score_gemma":0.02911778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01344111,"about_ca_topic_score_gemma":0.03466345,"domain_scores_codex":[0.9960222,0.001536516,0.0001502003,0.0001740112,0.0008830449,0.001234098],"domain_scores_gemma":[0.9865882,0.002770934,0.001799365,0.0003362271,0.003048264,0.00545706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002456253,0.002276319,0.2014616,0.005662587,0.0003244607,0.0005493277,0.02657097,0.001025366,0.007266723,0.01823204,0.1349765,0.6014085],"study_design_scores_gemma":[0.0002384114,0.00321995,0.5369967,0.01109033,0.0003304576,0.001278897,0.04438197,0.001386151,0.005087412,0.02768843,0.3681917,0.0001096035],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2248479,0.03227875,0.01060114,0.6642359,0.004334649,0.0002769149,0.0001901191,0.0001705952,0.06306405],"genre_scores_gemma":[0.898503,0.02521124,0.008659147,0.05697855,0.004155937,0.0002760216,0.000139987,0.00002717707,0.006048906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01344111,"threshold_uncertainty_score":0.03177357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1102481715951557,"score_gpt":0.4215041384359259,"score_spread":0.3112559668407702,"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."}}