{"id":"W2326545469","doi":"10.1093/aje/kwv207","title":"Sex-Based Differences in Rates, Causes, and Predictors of Death Among Injection Drug Users in Vancouver, Canada","year":2016,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"HIV, Drug Use, Sexual Risk","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital","funders":"ViiV Healthcare; AbbVie Canada; Canada Research Chairs; National Institutes of Health; Merck Canada; Canadian Institutes of Health Research; Ministry of Health, British Columbia; Health Canada; Institute of Gender and Health; National Institute on Drug Abuse; Bristol-Myers Squibb; Brown University; Bristol-Myers Squibb Canada; Gilead Sciences","keywords":"Medicine; Demography; Poisson regression; Confidence interval; Mortality rate; Psychological intervention; Epidemiology; Public health; Proportional hazards model; Population; Gerontology; Internal medicine; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001690047,0.0001652277,0.001226967,0.0003747448,0.00001658656,0.000001031957,0.0001148739,0.0000611963,0.0000172004],"category_scores_gemma":[0.004071599,0.0001030202,0.00004891137,0.0002921817,0.0005323166,0.00008534762,0.00002022661,0.0003298202,1.832319e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003763932,"about_ca_system_score_gemma":0.0008693842,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4929121,"about_ca_topic_score_gemma":0.8004436,"domain_scores_codex":[0.9971579,0.001019703,0.001094827,0.0002109255,0.0001667868,0.0003499033],"domain_scores_gemma":[0.9946254,0.003861486,0.001015048,0.0001621109,0.0000984316,0.0002375453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002923436,0.00005324414,0.9911079,0.00001579589,0.00005210466,0.00006875664,0.0004534796,0.0001180604,0.0001934243,0.000008274198,0.0019331,0.005703537],"study_design_scores_gemma":[0.001562789,0.001264848,0.9914785,0.000323313,0.00004095817,0.00004424587,0.004396516,0.000165699,0.000240247,0.0001075407,0.0002731747,0.0001021847],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978518,0.000261695,0.0002416958,0.001058217,0.0004066336,0.0001194111,0.000009766265,0.000004734033,0.00004601252],"genre_scores_gemma":[0.998535,0.000337774,0.0004662827,0.0004635116,0.00007772358,0.000003851033,0.000001377384,0.00001408423,0.0001003571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3075315,"threshold_uncertainty_score":0.5104646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03194034332075069,"score_gpt":0.3167085837068558,"score_spread":0.2847682403861051,"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."}}