{"id":"W2999514684","doi":"10.1093/cid/ciaa013","title":"Hepatitis B Virus RNA as Early Predictor for Response to Pegylated Interferon Alpha in HBeAg-Negative Chronic Hepatitis B","year":2020,"lang":"en","type":"article","venue":"Clinical Infectious Diseases","topic":"Hepatitis B Virus Studies","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"Roche","keywords":"cccDNA; Medicine; HBsAg; HBeAg; Hepatitis B virus; RNA; Pegylated interferon; Hepatology; Virology; Hepatitis B; Gastroenterology; Chronic hepatitis; Internal medicine; Immunology; Virus; Biology; Ribavirin; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004414154,0.0004364273,0.001206533,0.0002176598,0.0001664268,0.00006330675,0.0002022936,0.0002569031,0.0002481629],"category_scores_gemma":[0.02281502,0.0004268665,0.0004937689,0.0006552266,0.0003368217,0.0002080205,0.000246324,0.0005140404,0.0007498274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006018712,"about_ca_system_score_gemma":0.0006894989,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01068425,"about_ca_topic_score_gemma":0.02216116,"domain_scores_codex":[0.9960893,0.0005778117,0.001336515,0.000952403,0.0003880484,0.0006559049],"domain_scores_gemma":[0.9947127,0.003098208,0.000241221,0.0004363201,0.0003577818,0.001153791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00645376,0.0007847181,0.9760964,0.0001752631,0.0003855821,0.000247688,0.0008686378,0.00001854402,0.0006942267,0.00002868691,0.008242705,0.006003789],"study_design_scores_gemma":[0.005491198,0.02231544,0.9638944,0.0004846805,0.0003231109,0.000004299205,0.00001591514,0.0006317777,0.0008181441,0.0003645488,0.005238476,0.0004179995],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899426,0.0005651077,0.0003795847,0.003804602,0.0006780276,0.002696387,0.0008084821,0.0009111408,0.0002140971],"genre_scores_gemma":[0.9895728,0.001947605,0.00007596915,0.006218346,0.001024238,0.0007874565,0.00004751323,0.0001586168,0.0001674783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0223736,"threshold_uncertainty_score":0.9998183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04232111792182822,"score_gpt":0.3670322530345266,"score_spread":0.3247111351126984,"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."}}