{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002888616,0.0002116001,0.0002235772,0.00009604854,0.0001127363,0.0001954666,0.0001316074,0.0002463394,0.001048327],"category_scores_gemma":[0.0004157494,0.00006645067,0.0001639342,0.00007214363,0.0001660785,0.0001698716,0.0001181217,0.0003009326,0.0001337976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001800642,"about_ca_system_score_gemma":0.0001600749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007861486,"about_ca_topic_score_gemma":0.001008497,"domain_scores_codex":[0.9997765,0.00006771254,0.00001606414,0.00002180627,0.00006335419,0.00005446753],"domain_scores_gemma":[0.9997887,0.0001034008,0.00002361602,0.00001948817,0.00003235929,0.00003236059],"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":[0.0007932124,0.0002295994,0.002834782,0.00003592781,0.00002015622,0.00007318036,0.0000437939,0.0003934956,0.9897575,0.00009098397,0.0001237429,0.005603541],"study_design_scores_gemma":[0.00003800842,0.005017329,0.02648156,0.00000705246,0.00002714982,0.0003872014,0.00005294367,0.001746058,0.9651922,0.00007295587,0.0009689415,0.000008570635],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990389,0.0002785717,0.0001608377,0.0000175512,0.00001042176,0.00000544458,0.00006190106,0.00000601038,0.0004203123],"genre_scores_gemma":[0.9989457,0.0001323128,0.000306597,0.0000425603,0.000005252611,0.000006362046,0.0001772536,0.000003816046,0.0003802163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001048327,"threshold_uncertainty_score":0.003507018,"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."}}