{"id":"W1952205832","doi":"10.1002/hep.27734","title":"Differentiation of acute from chronic hepatitis C virus infection by nonstructural 5B deep sequencing: A population‐level tool for incidence estimation","year":2015,"lang":"en","type":"article","venue":"Hepatology","topic":"Hepatitis C virus research","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; BC Centre for Disease Control; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Incidence (geometry); Virology; Medicine; Chronic hepatitis; Hepatitis C virus; Hepatitis a virus; Population; Estimation; Virus; Deep sequencing; Biology; Genetics; Environmental health; Gene; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001951643,0.0001758151,0.0004563165,0.0001713582,0.00009325304,0.00002242071,0.00008911028,0.000247476,0.0001401617],"category_scores_gemma":[0.0007066929,0.0001731125,0.00009160912,0.0002187358,0.00009665867,0.0002885573,0.00005465162,0.0001828236,0.00002865534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001072854,"about_ca_system_score_gemma":0.0004200886,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06865641,"about_ca_topic_score_gemma":0.01796001,"domain_scores_codex":[0.9982923,0.0001420473,0.0005324706,0.0003286425,0.0003913806,0.0003131767],"domain_scores_gemma":[0.998737,0.0001574121,0.000252136,0.0002938168,0.0004190587,0.0001405895],"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":[0.0001272978,0.0000358684,0.9547765,0.00007489251,0.0001366529,0.000007617721,0.0002233122,0.00006014059,0.01657102,0.0001393261,0.0009726505,0.02687468],"study_design_scores_gemma":[0.002432795,0.0007245659,0.4388067,0.00007179191,0.0002600219,0.00007000406,0.000005096149,0.5282416,0.02587647,0.003031556,0.0002518106,0.0002275856],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8771753,0.0001095632,0.1210948,0.0001516112,0.0003006424,0.0007202043,0.0003409242,0.00006279831,0.00004419749],"genre_scores_gemma":[0.9889045,0.0001950307,0.008244615,0.0000837168,0.0001050447,0.0001515976,0.00222781,0.00002819995,0.00005944464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5281815,"threshold_uncertainty_score":0.9999596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05465102444601024,"score_gpt":0.3452696532847991,"score_spread":0.2906186288387889,"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."}}