{"id":"W4393168547","doi":"10.1017/gmh.2024.18.pr5","title":"Recommendation: Inequality on the frontline: A multi-country study on gender differences in mental health among healthcare workers during the COVID-19 pandemic — R1/PR5","year":2024,"lang":"en","type":"peer-review","venue":"","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Inequality; Mental health; Health care; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Mental healthcare; Psychology; Psychiatry; Medicine; Economic growth; Virology; Economics; Mathematics","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":[0.01757382,0.002021336,0.004438834,0.002127312,0.002551068,0.004713705,0.008078466,0.03175831,0.07877076],"category_scores_gemma":[0.1146854,0.001518013,0.007211447,0.004365633,0.001638232,0.006776211,0.00406505,0.007410814,0.04558879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003773366,"about_ca_system_score_gemma":0.02225142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03779121,"about_ca_topic_score_gemma":0.03881181,"domain_scores_codex":[0.988694,0.00478432,0.002429243,0.0008083105,0.00219936,0.00108474],"domain_scores_gemma":[0.8655192,0.02467146,0.0126278,0.005721815,0.07907633,0.01238333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004196592,0.0002051963,0.006032104,0.009026076,0.0004679436,0.00009542186,0.0001515486,0.00006559693,0.0001245147,0.0004278312,0.9637465,0.0192376],"study_design_scores_gemma":[0.01791982,0.001247161,0.1087249,0.1144409,0.003045504,0.0003633185,0.004213175,0.001127826,0.0007176498,0.006318597,0.7412375,0.0006436675],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01067274,0.01620886,0.002075564,0.5969323,0.1404596,0.04806989,0.1360012,0.001449591,0.04813023],"genre_scores_gemma":[0.04262843,0.01312787,0.01954398,0.7010009,0.04897813,0.09788502,0.02827534,0.0004324949,0.04812792],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07877076,"threshold_uncertainty_score":0.2635145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3697245711978112,"score_gpt":0.5177375443050878,"score_spread":0.1480129731072766,"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."}}