{"id":"W6977851641","doi":"10.6084/m9.figshare.c.3640730_d1","title":"Additional file 1: Table S1. of Twin epidemics of new and prevalent hepatitis C infections in Canada: BC Hepatitis Testers Cohort","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seroconversion; Cohort; Hepatitis C; Logistic regression; Multinomial logistic regression; Cohort study; Table (database); Chronic hepatitis","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009102672,0.0008657376,0.001319677,0.003162598,0.003150479,0.001491164,0.002152551,0.0006514771,0.5630383],"category_scores_gemma":[0.0169637,0.0006079421,0.0007843183,0.007670018,0.0003395531,0.001086387,0.001049954,0.001042525,0.04477522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008109429,"about_ca_system_score_gemma":0.01705197,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8562601,"about_ca_topic_score_gemma":0.8836519,"domain_scores_codex":[0.9993703,0.0000628234,0.00008500394,0.0001319646,0.00018348,0.0001664641],"domain_scores_gemma":[0.9916598,0.002387656,0.000660367,0.000584815,0.00400649,0.000700825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00008015894,0.00002836305,0.0102511,0.0004382237,0.00002690009,0.00003306521,0.00009882321,0.0001541845,0.00001562972,0.0002716238,0.9847212,0.003880594],"study_design_scores_gemma":[0.002332276,0.0001444647,0.3159153,0.006448475,0.0003000666,0.000720038,0.002978378,0.002781962,0.000451554,0.003511707,0.6641793,0.0002363955],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0004335176,0.00002395283,0.0000538077,0.00007963646,0.00001697566,0.00006789507,0.9983948,0.00003714146,0.0008922549],"genre_scores_gemma":[0.02058949,0.0004534367,0.001743919,0.000481689,0.00008897416,0.001721779,0.9552859,0.0002658906,0.01936893],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5630383,"threshold_uncertainty_score":0.6232728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01138201201726422,"score_gpt":0.1847835533671308,"score_spread":0.1734015413498666,"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."}}