{"id":"W2155847796","doi":"10.2105/ajph.2013.301833","title":"A Social Network–Informed Latent Class Analysis of Patterns of Substance Use, Sexual Behavior, and Mental Health: Social Network Study III, Winnipeg, Manitoba, Canada","year":2014,"lang":"en","type":"article","venue":"American Journal of Public Health","topic":"HIV, Drug Use, Sexual Risk","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Manitoba Health","funders":"National Institute on Drug Abuse; Canadian Institutes of Health Research","keywords":"Latent class model; Social network (sociolinguistics); Substance use; Mental health; Population; Demography; Social class; Medicine; Psychology; Gerontology; Environmental health; Psychiatry; Social media","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.004428344,0.0007021353,0.0005366719,0.002036051,0.003211613,0.001264927,0.00164566,0.0003664316,0.002195824],"category_scores_gemma":[0.007373049,0.0004609973,0.001006116,0.002889343,0.0008307026,0.0005241201,0.001682193,0.001023783,0.000219997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01588694,"about_ca_system_score_gemma":0.02129559,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9723876,"about_ca_topic_score_gemma":0.9784533,"domain_scores_codex":[0.9986792,0.0005867251,0.00004573664,0.0001918414,0.0002147119,0.0002817453],"domain_scores_gemma":[0.9973889,0.0004496713,0.0003763011,0.0003189164,0.0009071715,0.0005590723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001443461,0.0001066066,0.9905791,0.0000167478,0.0001690622,0.00002867042,0.0007250092,0.001187284,0.0001124688,0.0004873243,0.0013298,0.005113643],"study_design_scores_gemma":[0.00007600858,0.00007587214,0.9634151,0.0000391673,0.0001485319,0.00004419973,0.002620224,0.03094629,0.0001127797,0.0006217306,0.001876114,0.00002381644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933335,0.0001128612,0.002717896,0.0002702161,0.00001196688,0.0003068454,0.002710486,0.00001700429,0.0005192773],"genre_scores_gemma":[0.9884625,0.0001513739,0.00415797,0.00004366375,0.000008346719,0.0003419123,0.005353003,0.00001647679,0.001464703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02761239,"threshold_uncertainty_score":0.1152683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07446939179980391,"score_gpt":0.3555809999494589,"score_spread":0.281111608149655,"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."}}