{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004360417,0.0002560664,0.000621795,0.0009202847,0.00004511103,0.00003946089,0.00009616306,0.0001828283,0.001754701],"category_scores_gemma":[0.00005040403,0.0002456729,0.000224699,0.001202747,0.00004939188,0.0002560275,0.00005048488,0.0003156522,0.0007784383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001502621,"about_ca_system_score_gemma":0.0001176044,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03084592,"about_ca_topic_score_gemma":0.03836362,"domain_scores_codex":[0.9975441,0.0002070673,0.0005218426,0.0005562405,0.0005906962,0.0005800213],"domain_scores_gemma":[0.9989887,0.0001025391,0.00005548701,0.0006179467,0.00004873457,0.0001865838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004815829,0.0002601068,0.913129,0.00002365453,0.0000689036,0.0003927325,0.0005441134,0.00001159383,0.001159323,0.00007966402,0.0003543286,0.08392836],"study_design_scores_gemma":[0.003999535,0.0009401267,0.9829844,0.0001617616,0.00003639839,0.00001116792,0.00004500283,0.0007538126,0.001403891,0.00003692702,0.009412054,0.0002149848],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979457,0.0002087302,0.0000338008,0.0001775792,0.0005631199,0.0005916354,0.0000351134,0.00008102297,0.01885203],"genre_scores_gemma":[0.9925224,0.00130495,0.0001749879,0.00007587759,0.0001072664,0.0001477678,0.0001917498,0.00004975883,0.005425302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08371338,"threshold_uncertainty_score":0.9999996,"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."}}