{"id":"W3209221247","doi":"10.1038/s41598-021-01081-0","title":"Molecular strategies for antibody binding and escape of SARS-CoV-2 and its mutations","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Compute Canada","keywords":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Antibody; Sars virus; Mutation; Virology; 2019-20 coronavirus outbreak; Immune escape; Computational biology; Biology; Genetics; Medicine; Gene; Immune system; Outbreak; Infectious disease (medical specialty)","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":[0.0002140204,0.0004498571,0.0004972329,0.0002060506,0.0004870208,0.0004095938,0.000533572,0.0005746271,0.001966509],"category_scores_gemma":[0.0002827624,0.0002780808,0.0005445986,0.0001120137,0.0004800389,0.000608627,0.0004495031,0.0005611452,0.0002266506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005276584,"about_ca_system_score_gemma":0.0004824389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001741205,"about_ca_topic_score_gemma":0.00190736,"domain_scores_codex":[0.999909,0.00001800156,0.000003174532,0.00001163064,0.00002465247,0.00003345228],"domain_scores_gemma":[0.9999503,0.00001335161,0.00001286395,0.000003599588,0.000007356716,0.00001254732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005427634,0.0007823173,0.005299074,0.0006094759,0.0002409653,0.001052368,0.0002460274,0.5686999,0.3331865,0.06530441,0.001878143,0.02215808],"study_design_scores_gemma":[0.0003232887,0.001107804,0.00214017,0.00004863913,0.00009839232,0.0002465251,0.0001884694,0.9212041,0.05535677,0.01424647,0.004981563,0.00005772636],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715343,0.001891243,0.01807856,0.0005052157,0.00008077377,0.0000792092,0.00007613102,0.0001197116,0.007634763],"genre_scores_gemma":[0.9910868,0.001084058,0.006059026,0.0001703351,0.00001279299,0.00008669335,0.00006669132,0.00001863236,0.001415086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001966509,"threshold_uncertainty_score":0.006578624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.057815798515888,"score_gpt":0.3920296008076888,"score_spread":0.3342138022918009,"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."}}