{"id":"W2205783927","doi":"10.1007/978-3-319-17326-9_19","title":"Exploring Women’s Mental Health at the Intersections of Aging, Racialization, and Low Socioeconomic Status","year":2015,"lang":"en","type":"book-chapter","venue":"","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; Centre for Addiction and Mental Health","funders":"","keywords":"Racialization; Socioeconomic status; Mental health; Gerontology; Psychology; Sociology; Demography; Medicine; Gender studies; Race (biology); Psychiatry","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":[0.0006251724,0.0004958225,0.0004163278,0.0007338179,0.001175642,0.002871471,0.0004970407,0.0008930427,0.007675137],"category_scores_gemma":[0.0009549082,0.0001550476,0.0004409723,0.001667724,0.001970699,0.002345966,0.001601593,0.002083566,0.0005598561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00162423,"about_ca_system_score_gemma":0.003815377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02062416,"about_ca_topic_score_gemma":0.07226212,"domain_scores_codex":[0.9998497,0.00006943246,0.000003310603,0.00001675312,0.00003013713,0.0000306072],"domain_scores_gemma":[0.9997098,0.0002130565,0.00001338734,0.000006293059,0.00002270865,0.00003468558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002344941,0.00007590178,0.008849597,0.0005041211,0.00004111004,0.0002188922,0.01926246,0.0004446408,0.0004046194,0.5378457,0.1603848,0.2719447],"study_design_scores_gemma":[0.000006022021,0.00003198099,0.02096047,0.001775454,0.00003759645,0.0002693895,0.0280776,0.0004725941,0.0002391993,0.491637,0.4564658,0.00002689461],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03554795,0.3248236,0.01063057,0.121752,0.004207099,0.00007133219,0.001100969,0.0001080616,0.5017584],"genre_scores_gemma":[0.3310954,0.4419438,0.01368888,0.02893852,0.00508108,0.0002904501,0.001054135,0.0001182156,0.1777896],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02062416,"threshold_uncertainty_score":0.04100823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09732240427509271,"score_gpt":0.3455116252309532,"score_spread":0.2481892209558605,"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."}}