{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003096439,0.0004041242,0.0003525798,0.00114652,0.000333535,0.0008651723,0.0004487259,0.0004789775,0.0009381438],"category_scores_gemma":[0.007361748,0.0001984504,0.0002831819,0.0006451381,0.0004869045,0.0003462892,0.0007164225,0.0005991597,0.000197503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005267602,"about_ca_system_score_gemma":0.0005353441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007754701,"about_ca_topic_score_gemma":0.01847828,"domain_scores_codex":[0.9990419,0.0003821801,0.0000726629,0.0002305169,0.0001893008,0.00008356242],"domain_scores_gemma":[0.9956736,0.002319371,0.001003691,0.0003267466,0.0004844786,0.0001921097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001491966,0.00003242197,0.9529859,0.00005778244,0.0001514306,0.00003075189,0.0001336831,0.002322514,0.006034992,0.0001651752,0.0004046917,0.03753146],"study_design_scores_gemma":[0.000018927,0.0001625275,0.9404086,0.00006840892,0.0001298399,0.0003848617,0.0003610492,0.05060371,0.005073859,0.001226865,0.001530843,0.00003040901],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9657827,0.0008913711,0.0303698,0.0001666757,0.00001584664,0.0000444715,0.001621438,0.0001120308,0.0009956082],"genre_scores_gemma":[0.9859539,0.0001687544,0.01251642,0.00008067628,0.00001237466,0.00003583831,0.0009733998,0.00001002162,0.0002486939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007754701,"threshold_uncertainty_score":0.01637578,"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."}}