{"id":"W4249706211","doi":"10.1111/jvh.127_12923","title":"P1‐163: Assessing the diagnostic accuracy of viral hepatitis B and C health administrative diagnosis and billing codes using linked laboratory and administrative health databases in Ontario, Canada","year":2018,"lang":"en","type":"article","venue":"Journal of Viral Hepatitis","topic":"Hepatitis C virus research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Citation; Viral hepatitis; Library science; Hepatitis C; Medicine; Family medicine; Database; Political science; Computer science; Virology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001563296,0.0003024935,0.001023002,0.0002670341,0.0004257512,0.0001217427,0.0001377504,0.00007215617,0.00006547023],"category_scores_gemma":[0.002395449,0.000233689,0.00005233582,0.0003345134,0.0007347839,0.0007456275,0.0001235215,0.0008469999,2.433138e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001099761,"about_ca_system_score_gemma":0.01276442,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9557512,"about_ca_topic_score_gemma":0.9920121,"domain_scores_codex":[0.9963834,0.000649376,0.001323571,0.0003460205,0.000767477,0.0005301111],"domain_scores_gemma":[0.9952028,0.002335194,0.00114514,0.000241625,0.0005312401,0.0005439657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008735037,0.0001277851,0.9825009,0.0002493132,0.00009751633,0.0003544387,0.00257712,0.000001869576,0.0001854956,0.00007119229,0.000653043,0.01309405],"study_design_scores_gemma":[0.001432563,0.003306983,0.9872556,0.002908973,0.00006400974,0.000202475,0.0009604909,0.000718142,0.00123375,0.00006771953,0.001637587,0.0002116833],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990523,0.004477545,0.0001455025,0.003544061,0.0001790496,0.0006741168,0.0004020976,0.000006181218,0.00004845875],"genre_scores_gemma":[0.9799162,0.01465592,0.003946877,0.001189319,0.0002146459,0.00001582213,0.00002233779,0.00003083481,0.000008059113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03626094,"threshold_uncertainty_score":0.9928323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1415610801179604,"score_gpt":0.4338286870111062,"score_spread":0.2922676068931457,"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."}}