{"id":"W4400353597","doi":"10.1093/occmed/kqae023.1400","title":"P-584 UNDERSTANDING BURNOUT AMONG CANADIAN MEDICAL LABORATORY PROFESSIONALS WORKING DURING THE SECOND WAVE OF THE COVID-19 PANDEMIC IN ONTARIO, CANADA: USING A GENDERED-BASED ANALYSIS","year":2024,"lang":"en","type":"article","venue":"Occupational Medicine","topic":"Healthcare professionals’ stress and burnout","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Conestoga College; CARE Canada; University of Toronto","funders":"","keywords":"Pandemic; Burnout; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Family medicine; Psychology; Virology; Clinical psychology; Outbreak; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003576481,0.0002700791,0.0005697921,0.0006548242,0.001571218,0.00001038801,0.00038092,0.0004185231,0.01420929],"category_scores_gemma":[0.001599793,0.0001512484,0.0001127453,0.001985204,0.0003180606,0.0000849932,0.0001204115,0.002277922,0.000001899557],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01269244,"about_ca_system_score_gemma":0.1078078,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9913229,"about_ca_topic_score_gemma":0.9999222,"domain_scores_codex":[0.9943359,0.001356795,0.001259533,0.0004622111,0.001822534,0.0007630482],"domain_scores_gemma":[0.9949853,0.00311422,0.0003851827,0.0004067478,0.0002313559,0.0008771884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004941281,0.00001320198,0.9911132,0.0005828596,0.0001883071,0.0001084748,0.003669492,0.0004065222,0.00002799295,0.001226436,0.002565252,0.00004882554],"study_design_scores_gemma":[0.0009609976,0.0000127099,0.9624632,0.007358068,0.0001578423,0.000007495191,0.008300575,0.01084366,0.000003818098,0.0004129927,0.009258712,0.0002199286],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732465,0.001786552,0.0004100131,0.02017326,0.002191014,0.001015031,0.000259607,0.0000356821,0.0008823708],"genre_scores_gemma":[0.9871202,0.00001479311,0.00003719206,0.01116097,0.0004131615,0.0001052647,0.00008282925,0.00002735333,0.001038217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09511534,"threshold_uncertainty_score":0.9997286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1658484759362871,"score_gpt":0.4196800507006113,"score_spread":0.2538315747643242,"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."}}