{"id":"W3207530241","doi":"10.1126/sciadv.abj3107","title":"Mechanism of a COVID-19 nanoparticle vaccine candidate that elicits a broadly neutralizing antibody response to SARS-CoV-2 variants","year":2021,"lang":"en","type":"article","venue":"Science Advances","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Allergy and Infectious Diseases; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Germinal center; Memory B cell; Virology; Neutralizing antibody; Antibody; Adjuvant; Potency; Neutralization; Coronavirus; Biology; Immunity; Monoclonal antibody; Immune system; Immunology; B cell; Coronavirus disease 2019 (COVID-19); Medicine; Disease; Genetics; In vitro; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001831335,0.0004033195,0.0001825317,0.0001215275,0.0001747122,0.0002399935,0.0003057731,0.0004492934,0.0009887749],"category_scores_gemma":[0.00007891626,0.0001362608,0.0003303473,0.00003850495,0.0001673689,0.0002295831,0.0001636473,0.0003712325,0.0004028403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003942872,"about_ca_system_score_gemma":0.000197593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000434921,"about_ca_topic_score_gemma":0.000432402,"domain_scores_codex":[0.9999193,0.00001232657,0.00000382232,0.00001766348,0.00002182765,0.00002508574],"domain_scores_gemma":[0.9999746,0.000003264129,0.000005908918,0.000002074993,0.000007835199,0.000006169756],"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":[0.00007684721,0.00005360162,0.0001246398,0.00004849828,0.000006586534,0.000072769,0.00001143486,0.0003228777,0.9971085,0.000389744,0.000130893,0.001653556],"study_design_scores_gemma":[0.00004544651,0.0008172326,0.0009553442,0.000007317013,0.00001863135,0.0003871506,0.00001826383,0.004487475,0.9896054,0.0001375581,0.003515504,0.000004673728],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742522,0.00227037,0.01591627,0.0004985469,0.0001305136,0.0003306591,0.0002722297,0.0002166882,0.006112465],"genre_scores_gemma":[0.9905311,0.000641354,0.004346268,0.0001815531,0.00001120086,0.0001049853,0.000239006,0.00001172227,0.0039328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009887749,"threshold_uncertainty_score":0.003307819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05371076571804746,"score_gpt":0.4129373440467489,"score_spread":0.3592265783287015,"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."}}