{"id":"W4393024494","doi":"10.1017/gmh.2024.27.pr2","title":"Recommendation: Associations between water insecurity and mental health outcomes among lesbian, gay, bisexual, transgender and queer persons in Bangkok, Thailand and Mumbai, India: Cross-sectional survey findings — R0/PR2","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"United Nations University Institute for Water, Environment, and Health; Women's College Hospital; University of Toronto","funders":"Canada Research Chairs; International Development Research Centre","keywords":"Transgender; Lesbian; Queer; Mental health; Cross-sectional study; Gender studies; Medicine; Psychiatry; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.008087037,0.001288868,0.002057463,0.00240471,0.001818191,0.003362882,0.006978831,0.007474409,0.0657839],"category_scores_gemma":[0.05000419,0.001108835,0.003859704,0.00394397,0.0007829387,0.003851917,0.003228695,0.004176044,0.02649043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002219339,"about_ca_system_score_gemma":0.01727005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08863998,"about_ca_topic_score_gemma":0.08281643,"domain_scores_codex":[0.9945847,0.001966197,0.001539186,0.0004002691,0.0009262656,0.0005834115],"domain_scores_gemma":[0.95604,0.006793123,0.004826322,0.002053675,0.02424553,0.006041427],"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":[0.0003170465,0.0004712152,0.03688977,0.01124579,0.0005322848,0.000127501,0.0002617317,0.0001284919,0.0004256667,0.0002668692,0.9078756,0.04145803],"study_design_scores_gemma":[0.005519203,0.001095557,0.4729561,0.07732867,0.002498155,0.0003616832,0.005146625,0.001216498,0.001459113,0.002006568,0.4299504,0.0004614432],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"commentary","genre_scores_codex":[0.03389891,0.01121228,0.003118661,0.193715,0.02437025,0.02724486,0.6311871,0.002324697,0.07292827],"genre_scores_gemma":[0.1789581,0.0315754,0.06210547,0.2782862,0.01293004,0.09378523,0.2373828,0.0009558576,0.1040209],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.08863998,"threshold_uncertainty_score":0.2200691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2345127923169484,"score_gpt":0.4382370994310549,"score_spread":0.2037243071141065,"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."}}