{"id":"W7066206931","doi":"","title":"Gender-sensitive determinants of poor mental health among rural Indian women","year":2018,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Minority Health and Health Disparities; Canadian Institutes of Health Research; Department of Epidemiology, Biostatistics and Occupational Health, McGill University; Government of the United Kingdom; Canada Research Chairs; International Development Research Centre; McGill University","keywords":"Mental health; Poverty; Public health; Rural area; Rural health","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003958899,0.0007195857,0.0009589518,0.0003663561,0.00105297,0.00008538794,0.0004088402,0.0003322216,0.001841755],"category_scores_gemma":[0.0000858038,0.0007524674,0.0003739515,0.0003303423,0.0001142687,0.0006371764,0.0001189857,0.0008994729,0.0005887639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006629364,"about_ca_system_score_gemma":0.0001838175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003684251,"about_ca_topic_score_gemma":0.002304425,"domain_scores_codex":[0.9965138,0.0002171309,0.001081522,0.0007009894,0.0005499353,0.0009366227],"domain_scores_gemma":[0.9970485,0.0001778893,0.001303473,0.0005277686,0.0004223482,0.0005200181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002545234,0.006660131,0.03690168,0.003098564,0.004773136,0.0002532099,0.003671749,0.0000549537,0.0183235,0.05128292,0.00107029,0.8713647],"study_design_scores_gemma":[0.006896337,0.00282252,0.08252715,0.004896844,0.0005633816,0.00006391152,0.07196,0.0001495484,0.7400143,0.02152586,0.06301901,0.00556121],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9521531,0.000008485833,1.856424e-7,0.000005236094,0.001743692,0.0006878091,0.007914816,0.00005655244,0.03743007],"genre_scores_gemma":[0.9918808,0.00002702732,0.0002440297,0.00008970752,0.0001532151,0.0001313543,0.00292445,0.0001517467,0.004397693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8658034,"threshold_uncertainty_score":0.9994926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01144679755893763,"score_gpt":0.2623858391531155,"score_spread":0.2509390415941778,"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."}}