{"id":"W4292488032","doi":"10.1038/s41467-022-32262-8","title":"SARS-CoV-2 variants of concern: spike protein mutational analysis and epitope for broad neutralization","year":2022,"lang":"en","type":"article","venue":"Nature Communications","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Medical Center, University of Pittsburgh; National Institutes of Health; Victoria General Hospital Foundation; Canada Excellence Research Chairs, Government of Canada; British Columbia Centre for Disease Control; Genome British Columbia; University of Pittsburgh","keywords":"Neutralization; Spike (software development); Epitope; Glycoprotein; Spike Protein; Biology; Mutation; Genetics; Antibody; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Computational biology; Coronavirus disease 2019 (COVID-19); Gene; 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":[0.0001833014,0.0003032141,0.0001784585,0.0001440768,0.0001255307,0.0001997107,0.0001931772,0.0002900262,0.0007340732],"category_scores_gemma":[0.000175856,0.00009873155,0.000231482,0.0000962252,0.0001744224,0.0001271766,0.0001638997,0.0003957694,0.0001623909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002058378,"about_ca_system_score_gemma":0.0001317496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008729575,"about_ca_topic_score_gemma":0.0007248261,"domain_scores_codex":[0.9998957,0.00002576862,0.000008563442,0.00001446579,0.00003127685,0.00002419899],"domain_scores_gemma":[0.9999186,0.00002239976,0.00001519615,0.00001002796,0.00001527484,0.00001858911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009580009,0.00003085952,0.0005781141,0.000009966322,0.000004446999,0.00008001946,0.00001328873,0.0001226444,0.9985261,0.00005353427,0.00001753048,0.0004677005],"study_design_scores_gemma":[0.00002842455,0.00072169,0.0136717,0.000004029709,0.00002158626,0.001507834,0.00004269452,0.002890935,0.9801651,0.00007051102,0.0008701135,0.000005374762],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982743,0.00009345178,0.001104706,0.00003098215,0.000004428528,0.00001395417,0.00007423958,0.00001319033,0.0003906853],"genre_scores_gemma":[0.9987306,0.00004553622,0.0007922436,0.00002379116,0.000002616393,0.00000424374,0.0001610803,0.000004802801,0.0002351389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008729575,"threshold_uncertainty_score":0.002455652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06817731712835048,"score_gpt":0.4079476425440883,"score_spread":0.3397703254157378,"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."}}