{"id":"W4392453894","doi":"10.1097/hep.0000000000000824","title":"Hepatitis C elimination: Tailoring the approach to each country’s needs and realities","year":2024,"lang":"en","type":"letter","venue":"Hepatology","topic":"Hepatitis C virus research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Hepatitis C; Transmission (telecommunications); Harm; Medicine; Environmental health; Economic growth; Business; Development economics; Political science; Virology; Economics; Law; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01219875,0.001150823,0.001246129,0.001931283,0.002518543,0.008038156,0.002780322,0.003837528,0.0157651],"category_scores_gemma":[0.02332527,0.0004696307,0.0009797249,0.001654197,0.003532367,0.007474498,0.01017861,0.005693137,0.002849847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005236439,"about_ca_system_score_gemma":0.02385855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01824693,"about_ca_topic_score_gemma":0.02178968,"domain_scores_codex":[0.9910847,0.006250504,0.0002169973,0.0004342648,0.0008390786,0.001174414],"domain_scores_gemma":[0.9935728,0.002703181,0.0005568212,0.0003579863,0.001148896,0.001660324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005142798,0.001275837,0.01971102,0.003439023,0.0006792687,0.0005725182,0.003981152,0.06082558,0.001887577,0.1689108,0.206003,0.5322],"study_design_scores_gemma":[0.0003062968,0.001013978,0.01235993,0.00619214,0.0003292162,0.0005817158,0.01531605,0.04745719,0.001389199,0.5006378,0.4140933,0.000323259],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.04323267,0.03028769,0.1178551,0.6491347,0.003743427,0.001766583,0.000857454,0.0009282994,0.1521941],"genre_scores_gemma":[0.7305515,0.03155337,0.1186575,0.09993875,0.003075993,0.001551479,0.0007792052,0.0005185859,0.0133736],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.01824693,"threshold_uncertainty_score":0.06451392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04811388624030614,"score_gpt":0.3103651516595718,"score_spread":0.2622512654192657,"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."}}