{"id":"W4392401948","doi":"10.1017/gmh.2024.18","title":"Inequality on the frontline: A multi-country study on gender differences in mental health among healthcare workers during the COVID-19 pandemic","year":2024,"lang":"en","type":"article","venue":"Cambridge Prisms Global Mental Health","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Centre for Addiction and Mental Health","funders":"Economic and Social Research Council; National Institute on Minority Health and Health Disparities; Ministero dell’Istruzione, dell’Università e della Ricerca; European Commission; Fondazione di Sardegna; UK Research and Innovation","keywords":"Mental health; Pandemic; Preparedness; Stressor; Health care; Medicine; Public health; Distress; Coronavirus disease 2019 (COVID-19); Environmental health; Psychiatry; Gerontology; Clinical psychology; Nursing; Disease; Economic growth; Political science; Infectious disease (medical specialty)","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.003966099,0.0007127867,0.0008377333,0.0001992226,0.001617222,0.0001446323,0.000780332,0.0002080004,0.00008881651],"category_scores_gemma":[0.0000719581,0.0004611689,0.0001988046,0.001030796,0.0003281741,0.0001321906,0.0002954437,0.00147663,0.0001676016],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01727683,"about_ca_system_score_gemma":0.002697959,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09753031,"about_ca_topic_score_gemma":0.02568127,"domain_scores_codex":[0.9910024,0.003141458,0.001450795,0.001544446,0.001080308,0.001780559],"domain_scores_gemma":[0.996845,0.0005418694,0.0004239926,0.001039592,0.00002270318,0.001126831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001208906,0.001834736,0.9447249,0.0007812558,0.0001229903,0.00006166298,0.02769487,0.000005859803,0.000001952066,0.00253221,0.01583663,0.00519402],"study_design_scores_gemma":[0.003239548,0.001663139,0.9323291,0.0004019525,0.00001032609,0.00006156096,0.05746039,0.0001893042,7.962214e-7,0.00004514296,0.004220264,0.0003784988],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9352756,0.00759487,0.0000885999,0.04406327,0.003829837,0.006779053,0.001774484,0.0003568934,0.0002374051],"genre_scores_gemma":[0.9529945,0.0005932244,0.00001525442,0.04494856,0.0002642552,0.0005450887,0.0001631264,0.00005890611,0.000417094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07184903,"threshold_uncertainty_score":0.999784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1548476804966357,"score_gpt":0.4514819635901064,"score_spread":0.2966342830934707,"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."}}