{"id":"W2734339327","doi":"10.1111/irv.12466","title":"Lineage‐specific epitope profiles for <scp>HPAI</scp> H5 pre‐pandemic vaccine selection and evaluation","year":2017,"lang":"en","type":"article","venue":"Influenza and Other Respiratory Viruses","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Mount Sinai Hospital; University of Toronto; Public Health Ontario","funders":"National Institute of Allergy and Infectious Diseases; National Institutes of Health","keywords":"Epitope; Phylogenetic tree; Biology; Virology; Lineage (genetic); Clade; Influenza A virus subtype H5N1; Hemagglutinin (influenza); Epitope mapping; Phylogenetics; Computational biology; Genetics; Gene; Antigen; 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":[0.0006186176,0.0001870988,0.0001719554,0.0005298046,0.00011866,0.0002352381,0.0001737478,0.0001660174,0.001144884],"category_scores_gemma":[0.0009025331,0.00007905281,0.0002619961,0.0003297315,0.00006168153,0.0002551005,0.0001879092,0.0002015767,0.0003510611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002582929,"about_ca_system_score_gemma":0.0002346283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001564696,"about_ca_topic_score_gemma":0.002913009,"domain_scores_codex":[0.9998247,0.00003603369,0.0000153028,0.00005616032,0.00003802593,0.00002980685],"domain_scores_gemma":[0.9996181,0.00009336694,0.0001180127,0.00003671747,0.00009132333,0.00004263722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007533225,0.00009358728,0.8950455,0.0002506081,0.0001405313,0.0001308925,0.0001989069,0.006618427,0.05336358,0.0001585519,0.001294926,0.04195122],"study_design_scores_gemma":[0.0000306039,0.0006369425,0.9419513,0.00007450168,0.0001450048,0.0007031087,0.0002876351,0.02708818,0.02409877,0.0002697826,0.004696565,0.00001745365],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937682,0.000326935,0.001095007,0.000025278,0.00000227949,0.00003134949,0.004201803,0.00002248838,0.000526722],"genre_scores_gemma":[0.9853944,0.0001648947,0.002997213,0.00002905623,0.00000259951,0.00002623465,0.01119176,0.000006977239,0.0001868956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001564696,"threshold_uncertainty_score":0.003830016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1184024825756833,"score_gpt":0.3668921413802986,"score_spread":0.2484896588046153,"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."}}