{"id":"W3135556657","doi":"10.1016/j.celrep.2021.108890","title":"The effect of spike mutations on SARS-CoV-2 neutralization","year":2021,"lang":"en","type":"article","venue":"Cell Reports","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":242,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"UCLH Biomedical Research Centre; Medical Research Council; National Institutes of Health; Cancer Research UK; Royal Free Hospital; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Francis Crick Institute; Wellcome Trust; National Institute of Allergy and Infectious Diseases; Bill and Melinda Gates Foundation","keywords":"Neutralization; Virology; Spike (software development); Polyclonal antibodies; Antibody; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Spike Protein; Neutralizing antibody; Monoclonal antibody; Biology; Coronavirus; Coronavirus disease 2019 (COVID-19); Virus; Immunology; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004223021,0.0001006829,0.0001919588,0.00006341068,0.0001048859,0.00002642466,0.00004753367,0.00006780109,0.000006472459],"category_scores_gemma":[0.0005828273,0.00006754874,0.0001220491,0.0003379441,0.00007523679,0.00003075381,0.00002975584,0.0001471992,0.00002749705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004716319,"about_ca_system_score_gemma":0.0002337933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004762625,"about_ca_topic_score_gemma":0.00002167761,"domain_scores_codex":[0.9987687,0.00009030444,0.0003173722,0.0002420266,0.0003906567,0.0001908849],"domain_scores_gemma":[0.9988349,0.0002894781,0.0001298623,0.0005454645,0.0001818774,0.00001838037],"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":[0.0001015809,0.00009765585,0.04447157,0.000186742,0.00003167144,0.002227018,0.0001127005,0.0000055135,0.9473502,0.00007763019,0.002113834,0.003223907],"study_design_scores_gemma":[0.0003631323,0.0003021452,0.00332121,0.00005040382,0.00005010262,0.0002176451,0.00002309091,0.00006740955,0.9109371,0.0001224915,0.08449202,0.00005324218],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9657626,0.0003580391,0.00007224823,0.0002102236,0.0002664797,0.0003280966,8.477971e-7,0.00003244932,0.03296905],"genre_scores_gemma":[0.9968769,0.000007493212,0.00001934443,0.002556741,0.00007590294,0.00003100427,0.00001382234,0.0000191054,0.0003996863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08237819,"threshold_uncertainty_score":0.2754558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0286290988548065,"score_gpt":0.3478532425135107,"score_spread":0.3192241436587042,"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."}}