{"id":"W4382516068","doi":"10.1101/2023.06.26.23291885","title":"Targeting hepatitis B vaccine escape using immunogenetics in Bangladeshi infants","year":2023,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Hepatitis B Virus Studies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital; McGill University Health Centre","funders":"Medical Research Council; Fonds de Recherche du Québec - Santé; National Institute for Health and Care Research; Jewish General Hospital; Public Health Agency; Canadian Institutes of Health Research; National Institutes of Health; Public Health Agency of Canada; Cancer Research UK; Biomedical Research Council; Royal College of Physicians and Surgeons of Canada; Wellcome Trust; European Commission; Bill and Melinda Gates Foundation","keywords":"Immunogenicity; Virology; Hepatitis B virus; Epitope; Antigen; Biology; Human leukocyte antigen; Immunology; Immunogenetics; Antibody; Antibody response; Hepatitis B; Virus; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000731723,0.0002066706,0.000201927,0.000264252,0.0001766808,0.0003829103,0.0001690266,0.0002804759,0.004444692],"category_scores_gemma":[0.001721914,0.00007495208,0.0002227498,0.0004186336,0.0001235132,0.0001549912,0.0002574751,0.0002706512,0.0008221262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000231671,"about_ca_system_score_gemma":0.0002089187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001617297,"about_ca_topic_score_gemma":0.001621463,"domain_scores_codex":[0.9998251,0.00008292136,0.00001089198,0.00003092136,0.00003055928,0.00001975],"domain_scores_gemma":[0.9995936,0.0001725522,0.00009234699,0.00003687644,0.00003974276,0.00006488017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003050436,0.0002663977,0.8043436,0.0004845695,0.0002508019,0.001432416,0.001235122,0.001585403,0.04449055,0.001059926,0.01450742,0.1272934],"study_design_scores_gemma":[0.0002324523,0.002189383,0.9349466,0.0002402956,0.0002334901,0.002697994,0.001436106,0.002541216,0.0216014,0.002245248,0.03158902,0.00004680998],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892423,0.002085345,0.001184295,0.002755368,0.00007900716,0.00002940531,0.002146604,0.00003637272,0.002441495],"genre_scores_gemma":[0.9934101,0.001563719,0.001501399,0.0004594054,0.00004895219,0.000037824,0.0008216409,0.00001616065,0.002140832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004444692,"threshold_uncertainty_score":0.01486897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05256302294658084,"score_gpt":0.3171815061148233,"score_spread":0.2646184831682425,"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."}}