{"id":"W2752993981","doi":"10.9778/cmajo.20170048","title":"Model-based projection of health and economic effects of screening for hepatitis C in Canada","year":2017,"lang":"en","type":"article","venue":"CMAJ Open","topic":"Hepatitis C virus research","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University Health Network","funders":"Canadian Liver Foundation; Gilead Sciences","keywords":"Medicine; Cohort; Context (archaeology); Asymptomatic; Public health; Hepatitis C; Quality-adjusted life year; Demography; Cost effectiveness; Cohort study; Pediatrics; Environmental health; Immunology; Internal medicine; Pathology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001306103,0.0009516253,0.001001922,0.001613623,0.001123987,0.001937296,0.001898997,0.001574707,0.005912008],"category_scores_gemma":[0.004971686,0.0007832051,0.001592532,0.002100825,0.0009155257,0.0005327198,0.0007910207,0.001437876,0.0002949748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03850924,"about_ca_system_score_gemma":0.02974874,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9709861,"about_ca_topic_score_gemma":0.9302032,"domain_scores_codex":[0.9994614,0.0001689998,0.00001784205,0.000072109,0.00008520829,0.0001945169],"domain_scores_gemma":[0.9975097,0.00110046,0.0001405688,0.0000594411,0.0009522947,0.0002375953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007250525,0.00002282199,0.003926145,0.00003179999,0.00004523842,0.00006053466,0.00001694926,0.9923459,0.00004401996,0.001584058,0.0009118473,0.0009381682],"study_design_scores_gemma":[0.0001002351,0.00003546356,0.004127139,0.000032172,0.0000681113,0.00002173578,0.00008604346,0.9928812,0.00007774714,0.001199558,0.001341874,0.00002882224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.92369,0.001659264,0.01443089,0.002765881,0.0001152192,0.0003994323,0.02116251,0.0002438617,0.03553292],"genre_scores_gemma":[0.9865556,0.0005344528,0.004252427,0.000133833,0.00001012884,0.0001190174,0.003172165,0.0000251129,0.005197253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03850924,"threshold_uncertainty_score":0.2794054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08859235652248502,"score_gpt":0.3901151453459458,"score_spread":0.3015227888234607,"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."}}