{"id":"W4384156373","doi":"10.1016/j.isci.2023.107394","title":"Selection for immune evasion in SARS-CoV-2 revealed by high-resolution epitope mapping and sequence analysis","year":2023,"lang":"en","type":"article","venue":"iScience","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University Health Centre; Ontario Genomics; McGill University; Montreal Heart Institute; McGill Genome Centre","funders":"Canadian Institutes of Health Research; Alliance de recherche numérique du Canada; Institut de Valorisation des Données; Genome Canada; McGill University","keywords":"Epitope; Biology; Immune system; Computational biology; Virology; Proteome; Genome; Negative selection; Antibody; Genetics; Evolutionary biology; Gene","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":[0.0002847847,0.0002171772,0.0002899999,0.0003198079,0.0001894412,0.0004035535,0.0002004104,0.0001839078,0.000391523],"category_scores_gemma":[0.0004002393,0.0001154004,0.0002982637,0.0002423227,0.0001622974,0.0003309267,0.0002496528,0.0002837061,0.00007860862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002084372,"about_ca_system_score_gemma":0.0002636998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001006883,"about_ca_topic_score_gemma":0.001989401,"domain_scores_codex":[0.999923,0.00002312426,0.000003207173,0.00001894712,0.00001776392,0.00001390006],"domain_scores_gemma":[0.9999115,0.00003534048,0.00002299397,0.000008939275,0.000008604215,0.0000125448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006760492,0.0003784308,0.1256817,0.0002060186,0.0002533703,0.0006629644,0.000277208,0.2927651,0.529695,0.004734533,0.0005960221,0.0440736],"study_design_scores_gemma":[0.00003693133,0.0001930507,0.05370705,0.000008265657,0.00004733447,0.0002836087,0.000207541,0.9080419,0.03251822,0.003958645,0.0009787193,0.00001880628],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890782,0.00009357778,0.01026728,0.00005016937,0.000002303198,0.000006381642,0.00009746951,0.00006136126,0.000343148],"genre_scores_gemma":[0.9910363,0.00006990641,0.008481824,0.00002771868,0.00000323436,0.000005660532,0.0002656773,0.000009159027,0.0001004936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001006883,"threshold_uncertainty_score":0.00200206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07847035427048182,"score_gpt":0.3776297458405271,"score_spread":0.2991593915700453,"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."}}