{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001138222,0.0003196235,0.0003251474,0.0006907856,0.001034351,0.0008311677,0.0004112024,0.0005809568,0.001913471],"category_scores_gemma":[0.001993388,0.0003171569,0.0004931965,0.0009012479,0.0004358868,0.001071699,0.001528816,0.0008271092,0.0002588017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005368817,"about_ca_system_score_gemma":0.0004573447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02571077,"about_ca_topic_score_gemma":0.03526297,"domain_scores_codex":[0.999206,0.0003235831,0.00004036594,0.0000967939,0.00006733958,0.0002659119],"domain_scores_gemma":[0.9990458,0.00017936,0.0003641811,0.00005413018,0.00009071542,0.000265741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001065103,0.00007853903,0.9936412,0.00002040662,0.00004987315,0.0001305685,0.003577812,0.00001431295,0.0001557219,0.0000414943,0.0003273452,0.001856102],"study_design_scores_gemma":[0.000005692224,0.00007592954,0.9901798,0.00003065582,0.00001460529,0.00008546805,0.009211076,0.00005670527,0.00002185347,0.00002602621,0.0002863317,0.000005875732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988151,0.0002706503,0.00006089618,0.0001799889,0.00001295247,0.00001159105,0.0002337918,8.531282e-7,0.0004141783],"genre_scores_gemma":[0.9993834,0.0001603846,0.00003178392,0.0001342979,0.00001154824,0.0000169029,0.0001151711,0.000001422409,0.0001450214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02571077,"threshold_uncertainty_score":0.05112219,"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."}}