{"id":"W4385428722","doi":"10.21203/rs.3.rs-3150364/v1","title":"Both/And: Mixed methods analysis of network composition, communication patterns, and socio-economic support within social networks of transgender women in Lima, Peru","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"LGBTQ Health, Identity, and Policy","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institutes of Health; IDSA Foundation; Infectious Diseases Society of America","keywords":"Social support; Demography; Transgender; Social network (sociolinguistics); Psychology; Respondent; Social capital; Social network analysis; Gerontology; Medicine; Social psychology; Sociology; Social media; Political science","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":[0.008549398,0.000600468,0.0006613866,0.003088272,0.001144207,0.001412085,0.001565097,0.0005358789,0.007072593],"category_scores_gemma":[0.01505196,0.000457198,0.001422333,0.003060241,0.0005129627,0.0009168002,0.002219712,0.0004839263,0.0004095919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001116244,"about_ca_system_score_gemma":0.002245782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01468822,"about_ca_topic_score_gemma":0.02182994,"domain_scores_codex":[0.9927844,0.00517983,0.0004481064,0.0007732313,0.000461708,0.0003528282],"domain_scores_gemma":[0.992238,0.003880665,0.001597803,0.0009969686,0.001104737,0.000181799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000906473,0.0008274889,0.7292999,0.005525609,0.002308228,0.0008550697,0.03343704,0.001752235,0.001946363,0.005377042,0.009597117,0.2081674],"study_design_scores_gemma":[0.0002770383,0.001981608,0.8876983,0.002157547,0.001662449,0.0005287044,0.05110455,0.01366563,0.002387301,0.005046735,0.0333578,0.0001323547],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9112754,0.002995664,0.04378099,0.001056393,0.0001080572,0.01339285,0.01870561,0.0002616576,0.00842331],"genre_scores_gemma":[0.8623071,0.001070258,0.07805862,0.0005162919,0.0000884362,0.04744885,0.006309889,0.00007894604,0.004121683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01468822,"threshold_uncertainty_score":0.04521406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1391110765358169,"score_gpt":0.5139871002369432,"score_spread":0.3748760237011263,"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."}}