{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004142782,0.000442048,0.0004352248,0.002220898,0.00740865,0.003086836,0.001438503,0.0006042991,0.003190059],"category_scores_gemma":[0.009042881,0.0003870432,0.0009797516,0.004015378,0.002529961,0.0009331973,0.002771423,0.0007925482,0.0001857029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04578183,"about_ca_system_score_gemma":0.07404511,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9754504,"about_ca_topic_score_gemma":0.9823069,"domain_scores_codex":[0.9977626,0.0003753358,0.0001092563,0.0001947387,0.0006764639,0.0008816528],"domain_scores_gemma":[0.9945229,0.001280794,0.001007958,0.0001138088,0.002194309,0.0008801774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008380326,0.00007322484,0.7790762,0.0003753489,0.00004397353,0.0001731942,0.2032545,0.000083163,0.000337685,0.0004683981,0.003148794,0.01288184],"study_design_scores_gemma":[0.00000684929,0.00004511669,0.7784694,0.0003862345,0.00002258158,0.00003699748,0.2168718,0.0002955522,0.00007270414,0.00009266742,0.003681853,0.00001815537],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899771,0.0006053487,0.0005632663,0.00172002,0.00003999349,0.0003448153,0.001435271,0.000009446078,0.005304683],"genre_scores_gemma":[0.9958652,0.0005133718,0.0007731151,0.0003676089,0.00001327814,0.0003704688,0.0006075691,0.000006073002,0.0014833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04578183,"threshold_uncertainty_score":0.332172,"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."}}