{"id":"W3174788422","doi":"10.1111/add.15630","title":"An intensive model of care for hepatitis C virus screening and treatment with direct‐acting antivirals in people who inject drugs in Nairobi, Kenya: a model‐based cost‐effectiveness analysis","year":2021,"lang":"en","type":"article","venue":"Addiction","topic":"Hepatitis C virus research","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"National Institute of Allergy and Infectious Diseases; National Institute on Drug Abuse; National Center for Advancing Translational Sciences; University of Bristol; Public Health England; Médecins Sans Frontières; National Institute for Health and Care Research; Gilead Sciences","keywords":"Medicine; Cost effectiveness; Population; Per capita; Quality-adjusted life year; Economic evaluation; Disability-adjusted life year; Cost–benefit analysis; Environmental health; Cost-effectiveness analysis; Hepatitis C; Disease burden; Virology; Risk analysis (engineering)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002873806,0.0001884786,0.0007805568,0.0006846127,0.00007833411,0.00002323181,0.00003528079,0.0001042579,0.000005618967],"category_scores_gemma":[0.0001884633,0.0001745273,0.0001097346,0.001154523,0.00004705103,0.0002311224,0.00002274438,0.000149136,2.038919e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000557594,"about_ca_system_score_gemma":0.0003492102,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01993412,"about_ca_topic_score_gemma":0.123733,"domain_scores_codex":[0.9984151,0.0002498556,0.0002975027,0.0004816302,0.000272711,0.0002832043],"domain_scores_gemma":[0.998574,0.0003121124,0.0001012358,0.0002650484,0.0006556819,0.00009190622],"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":[0.001377904,0.0001914107,0.7202702,0.0001492446,0.0003580103,0.00002911563,0.007961842,0.1931712,0.009871888,0.000004550298,0.000001701725,0.06661299],"study_design_scores_gemma":[0.00339512,0.0009675025,0.1207873,0.0005247411,0.0003406416,0.000001311695,0.001565973,0.8377284,0.03454832,0.000003709358,0.000005475207,0.0001315235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9530152,0.0002325536,0.04504702,0.00003321624,0.000009013835,0.001079359,0.0002958024,0.00002721424,0.0002606276],"genre_scores_gemma":[0.9958107,0.0003558528,0.002870709,0.00003638069,0.00001248369,0.0004160026,0.000442956,0.0000339649,0.0000209289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6445572,"threshold_uncertainty_score":0.9865922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03181382350431721,"score_gpt":0.3321378009329911,"score_spread":0.3003239774286739,"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."}}