{"id":"W4403353073","doi":"10.1016/j.ssmph.2024.101718","title":"Using a causal decomposition approach to estimate the contribution of employment to differences in mental health profiles between men and women","year":2024,"lang":"en","type":"article","venue":"SSM - Population Health","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health; Institute for Work & Health; Trillium Health Centre; Public Health Ontario; University of Toronto","funders":"","keywords":"Mental health; Psychology; Decomposition; Gerontology; Medicine; Psychiatry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001629825,0.0001592445,0.000440658,0.0002277288,0.0008398213,0.00002010306,0.00007030334,0.00005896396,0.000007829172],"category_scores_gemma":[0.0000326941,0.0001149793,0.00002308821,0.0003821029,0.00002543356,0.0001095242,0.0001104971,0.0002068985,0.000004362392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001104054,"about_ca_system_score_gemma":0.00022419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006582013,"about_ca_topic_score_gemma":0.0007319116,"domain_scores_codex":[0.9974126,0.0006385445,0.000794807,0.0003112156,0.0002798055,0.0005630474],"domain_scores_gemma":[0.9992909,0.0001459289,0.0001927603,0.0001235453,0.00004745128,0.0001994543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006083835,0.00004973285,0.91886,0.0004577739,0.00003357667,1.417194e-7,0.06934378,0.00005310672,0.00003921511,0.006616772,0.000901627,0.003583482],"study_design_scores_gemma":[0.0003685609,0.000329262,0.989529,0.0007590511,0.000007142172,5.60588e-7,0.005910405,0.001578825,0.000004864453,0.001103848,0.0002937617,0.0001146983],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757788,0.0004840146,0.001793143,0.01824132,0.000199507,0.003241724,0.0001047458,0.00007177733,0.00008497794],"genre_scores_gemma":[0.9976744,0.00005300538,0.0008569235,0.0006687861,0.0001263177,0.0003253406,0.0002244982,0.00001728121,0.00005344246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07066906,"threshold_uncertainty_score":0.9950078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1075673937588185,"score_gpt":0.495814387451387,"score_spread":0.3882469936925685,"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."}}