{"id":"W2910806171","doi":"10.1097/qad.0000000000002156","title":"Trends in cause-specific mortality in HIV–hepatitis C coinfection following hepatitis C treatment scale-up","year":2019,"lang":"en","type":"article","venue":"AIDS","topic":"Hepatitis C virus research","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; University of Ottawa; Alberta Hip and Knee Clinic; University Health Network; University of Toronto; AIDS Vancouver; HIV Legal Network; University of British Columbia; McGill University","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Hazard ratio; Cumulative incidence; Hepatitis C; Poisson regression; Mortality rate; Coinfection; Cause of death; Liver disease; Internal medicine; Proportional hazards model; Cohort; Confidence interval; Population; Disease; Immunology; Human immunodeficiency virus (HIV); 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":[0.001428364,0.0002057032,0.0003745751,0.001467468,0.0004501527,0.0009133492,0.0006664304,0.0005723693,0.001497698],"category_scores_gemma":[0.005770784,0.0001778006,0.0007296594,0.002135965,0.0002211476,0.0006133658,0.0005336161,0.0006997492,0.0002432707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002279988,"about_ca_system_score_gemma":0.00229771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2098656,"about_ca_topic_score_gemma":0.2166631,"domain_scores_codex":[0.9990832,0.0001231871,0.00007548093,0.0002030896,0.0002294677,0.0002855097],"domain_scores_gemma":[0.9957265,0.0004271617,0.001952862,0.0001966247,0.001300664,0.0003961993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001365263,0.00001457124,0.9960808,0.00002216767,0.00006663241,0.00002489278,0.0001120755,0.0001556735,0.0001108731,0.00003129593,0.0003540276,0.002890509],"study_design_scores_gemma":[0.000002029834,0.00001664325,0.9995368,0.000007059574,0.0000140361,0.0000212493,0.00006211788,0.0001649227,0.00003343953,0.000008585149,0.0001308842,0.000002461115],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992811,0.001070606,0.0001875852,0.0002281557,0.00001275309,0.00002278231,0.00472319,0.00002444463,0.0009193149],"genre_scores_gemma":[0.9958104,0.0002942522,0.0001216856,0.00004840987,0.000009967103,0.00001668485,0.003324691,0.000004326056,0.0003694965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2098656,"threshold_uncertainty_score":0.417288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04791297021374644,"score_gpt":0.3467242070071547,"score_spread":0.2988112367934082,"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."}}