{"id":"W2169973283","doi":"10.1093/infdis/jis213","title":"The More You Look, the More You Find: Effects of Hepatitis C Virus Testing Interval on Reinfection Incidence and Clearance and Implications for Future Vaccine Study Design","year":2012,"lang":"en","type":"article","venue":"The Journal of Infectious Diseases","topic":"Hepatitis C virus research","field":"Medicine","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"National Institute of Allergy and Infectious Diseases; National Institute on Drug Abuse; National Institute of Diabetes and Digestive and Kidney Diseases; National Institute for Health and Care Research","keywords":"Incidence (geometry); Medicine; Hepatitis C virus; Confidence interval; Credible interval; Hepatitis C; Statistics; Interval (graph theory); Immunology; Epidemiology; Cohort; Internal medicine; Mathematics; Virus","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1393553,0.0009241666,0.001923298,0.0008036282,0.0006575555,0.002440967,0.003003672,0.003124354,0.009167721],"category_scores_gemma":[0.3436038,0.0005864059,0.003388701,0.001464744,0.001548269,0.002619367,0.001333403,0.001596933,0.0006662377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001207941,"about_ca_system_score_gemma":0.002134595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003922281,"about_ca_topic_score_gemma":0.003238708,"domain_scores_codex":[0.8312799,0.156574,0.002882217,0.004034171,0.00420766,0.001022146],"domain_scores_gemma":[0.4107225,0.5459789,0.02400533,0.009315536,0.007013499,0.002964233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.05851082,0.002785759,0.7262975,0.003796621,0.01728205,0.0004166595,0.001323134,0.007381671,0.001836411,0.003116506,0.005476867,0.171776],"study_design_scores_gemma":[0.005715314,0.04132351,0.8352162,0.003780563,0.02820165,0.001075279,0.001885295,0.05035717,0.00542108,0.01739984,0.009205071,0.0004190151],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8963535,0.03538657,0.03462919,0.02164497,0.0013644,0.001457652,0.001854673,0.0002136895,0.007095282],"genre_scores_gemma":[0.9792852,0.002228381,0.01310251,0.002462387,0.0002651053,0.0008006194,0.0002941854,0.00004925075,0.00151241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1393553,"threshold_uncertainty_score":0.73699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02657549227291106,"score_gpt":0.3364135049733861,"score_spread":0.309838012700475,"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."}}