{"id":"W4412595544","doi":"10.3390/healthcare13151785","title":"Patterns of Distress and Supportive Resource Use by Healthcare Workers During the COVID-19 Pandemic","year":2025,"lang":"en","type":"article","venue":"Healthcare","topic":"Healthcare professionals’ stress and burnout","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Police Service; University of Toronto; Toronto Metropolitan University; Canadian Armed Forces; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research","keywords":"Burnout; Distress; Anxiety; Mental health; Pandemic; Depression (economics); Medicine; Coronavirus disease 2019 (COVID-19); Health care; Psychiatry; Psychology; Clinical psychology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001422454,0.0003973145,0.0007594664,0.0002109265,0.002680738,0.00002482967,0.0004349024,0.0006246957,0.0001647492],"category_scores_gemma":[0.000948524,0.0002843782,0.000124193,0.0005100433,0.0002048313,0.0001583385,0.0004963411,0.002005088,0.000008383581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007655746,"about_ca_system_score_gemma":0.00202206,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04566476,"about_ca_topic_score_gemma":0.01602617,"domain_scores_codex":[0.9927798,0.003056513,0.001543096,0.0007828859,0.0005561518,0.001281581],"domain_scores_gemma":[0.9941225,0.002915753,0.0007504625,0.0008884037,0.0003987273,0.0009241645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003423387,0.00004372276,0.9661232,0.009069562,0.00004174136,0.00001331075,0.005270563,0.000001538015,0.00003108185,0.001091296,0.01015213,0.007819509],"study_design_scores_gemma":[0.001779578,0.0001131943,0.8468767,0.006805511,0.00003526247,0.00001195766,0.04666978,0.00001984586,0.0000249505,0.0005596893,0.09674415,0.0003594064],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.850719,0.01127475,0.0001338294,0.1317905,0.0006269776,0.002283204,0.002862319,0.0001893352,0.0001200753],"genre_scores_gemma":[0.968519,0.003059027,0.00003317524,0.02229408,0.0001605465,0.0004559071,0.0002999489,0.00004906064,0.005129304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1192465,"threshold_uncertainty_score":0.9999608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08622166386546823,"score_gpt":0.449060285425016,"score_spread":0.3628386215595477,"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."}}