{"id":"W2120884660","doi":"10.3109/0142159x.2010.531156","title":"Sources of distress during medical training and clinical practice: Suggestions for reducing their impact","year":2011,"lang":"en","type":"review","venue":"Medical Teacher","topic":"Healthcare professionals’ stress and burnout","field":"Health Professions","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Distress; Training (meteorology); Psychology; Medical education; Clinical Practice; MEDLINE; Medicine; Clinical psychology; Nursing; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0110335,0.0005991738,0.00332544,0.0001856812,0.000822321,0.00001101115,0.0006706025,0.003206864,0.00505334],"category_scores_gemma":[0.04290999,0.0003421561,0.0008773856,0.0002225182,0.0005855495,0.0001224897,0.0005078685,0.005987412,0.00002317076],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001658435,"about_ca_system_score_gemma":0.006063805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007220059,"about_ca_topic_score_gemma":0.000109272,"domain_scores_codex":[0.9890503,0.004541524,0.00342733,0.0008091977,0.001090321,0.001081326],"domain_scores_gemma":[0.9856753,0.00993342,0.001738541,0.0005907415,0.000290693,0.001771337],"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":[0.0000463143,0.0003360125,0.001738184,0.01931631,0.0004053142,0.00003125636,0.002873397,1.515456e-8,9.725338e-9,0.0001413753,0.001150451,0.9739614],"study_design_scores_gemma":[0.0009995811,0.000189489,0.0005289207,0.1840837,0.0006369484,0.0001013275,0.002547845,0.0001325813,2.681459e-8,0.00006978845,0.8103128,0.0003969454],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003343888,0.9900969,0.0001071535,0.001722121,0.001381031,0.001812069,0.0002598555,0.0001014741,0.001175454],"genre_scores_gemma":[0.001165324,0.992995,0.0003662201,0.0001283665,0.003348729,0.0005103989,0.0002117851,0.0001230481,0.00115113],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9735644,"threshold_uncertainty_score":0.999903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2772769909325203,"score_gpt":0.5813663402092433,"score_spread":0.3040893492767229,"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."}}