{"id":"W2601600946","doi":"10.1111/hiv.12493","title":"The effect of engagement in an <scp>HIV</scp>/<scp>AIDS</scp> integrated health programme on plasma <scp>HIV</scp>‐1 <scp>RNA</scp> suppression among <scp>HIV</scp>‐positive people who use illicit drugs: a marginal structural modelling analysis","year":2017,"lang":"en","type":"article","venue":"HIV Medicine","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dr. Peter AIDS Foundation; AIDS Vancouver; St. Paul's Hospital; University of British Columbia","funders":"National Institutes of Health; National Institute on Drug Abuse; Canada Research Chairs","keywords":"Medicine; Viral load; Cohort; Confidence interval; Odds ratio; Marginal structural model; Human immunodeficiency virus (HIV); Harm reduction; Cohort study; Immunology; Demography; Internal medicine; Environmental health; Gerontology","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":["metaresearch","metaepi_narrow","sts","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.008424766,0.002366388,0.004882837,0.00352491,0.002967342,0.00092974,0.002816199,0.0009282347,0.00006265806],"category_scores_gemma":[0.03318286,0.001640138,0.001700211,0.003753852,0.002245945,0.001742105,0.0009877236,0.005150612,0.000181087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001236846,"about_ca_system_score_gemma":0.0007898367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004876615,"about_ca_topic_score_gemma":0.003009116,"domain_scores_codex":[0.9795143,0.004435635,0.003751945,0.002970975,0.004620021,0.004707107],"domain_scores_gemma":[0.9698755,0.0182803,0.002891646,0.004058745,0.0016219,0.003271921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006855174,0.003347636,0.508739,0.004041853,0.009141665,0.001256467,0.09611069,0.009536176,0.009518035,0.00113585,0.3382246,0.01826248],"study_design_scores_gemma":[0.03264696,0.03584032,0.201975,0.01677362,0.005709732,0.0002010204,0.09922437,0.5294142,0.02924109,0.0002982475,0.04824241,0.0004330162],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765562,0.001742542,0.006190561,0.0009786155,0.0005618021,0.006137205,0.001107591,0.0004215532,0.006303975],"genre_scores_gemma":[0.9560089,0.001700131,0.001374059,0.0003300908,0.001105256,0.000944074,0.004391878,0.0003922872,0.03375329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.519878,"threshold_uncertainty_score":0.9989074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02789696927377328,"score_gpt":0.3282077954173609,"score_spread":0.3003108261435877,"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."}}