{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006306698,0.0003552244,0.0005250858,0.002201766,0.001919221,0.001704234,0.001182756,0.0004283373,0.0015206],"category_scores_gemma":[0.00251526,0.0004658836,0.0005143297,0.002999497,0.0005617199,0.0002889357,0.0009154537,0.0008158086,0.0002117929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01389439,"about_ca_system_score_gemma":0.01226081,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9886198,"about_ca_topic_score_gemma":0.9951437,"domain_scores_codex":[0.9991145,0.00009919141,0.00006778163,0.0001240083,0.0002768914,0.0003176257],"domain_scores_gemma":[0.9977253,0.0001716044,0.0004480983,0.00007063017,0.001048759,0.0005355751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004563035,0.00001280248,0.9959148,0.00001939819,0.00003960409,0.0000503168,0.0003992695,0.00005632066,0.00009654649,0.00003492403,0.0003892746,0.002941151],"study_design_scores_gemma":[0.000004903533,0.00001019872,0.9982411,0.00002878997,0.00001749439,0.00006185582,0.0009461995,0.0001888369,0.00003782606,0.00001640026,0.0004384913,0.000007979361],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942561,0.001552187,0.0001051175,0.000217194,0.00001814066,0.00003139238,0.002182059,0.000008846363,0.001628951],"genre_scores_gemma":[0.9970158,0.0008240973,0.0001276245,0.00007295742,0.00000561738,0.00001127626,0.001023155,0.00000584959,0.0009136103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01389439,"threshold_uncertainty_score":0.1008114,"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."}}