{"id":"W3127288595","doi":"10.1101/2021.02.05.21251182","title":"A single mRNA immunization boosts cross-variant neutralizing antibodies elicited by SARS-CoV-2 infection","year":2021,"lang":"en","type":"preprint","venue":"medRxiv","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University; Centre Hospitalier de l’Université de Montréal","funders":"National Institute of Allergy and Infectious Diseases; Fred Hutchinson Cancer Research Center; Paul G. Allen Family Foundation","keywords":"Immunization; Virology; Neutralization; Antibody; Vaccination; Neutralizing antibody; Titer; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Immunology; Biology; Coronavirus disease 2019 (COVID-19); Infectious disease (medical specialty); Disease","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007552019,0.0005694573,0.0008844196,0.0005546433,0.0002786996,0.0006153632,0.0003404688,0.0007381469,0.00002089447],"category_scores_gemma":[0.0009141784,0.0005648762,0.0003774484,0.0008267832,0.0002256532,0.000256026,0.0007896876,0.001457049,0.00006725419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004246282,"about_ca_system_score_gemma":0.000524188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003582672,"about_ca_topic_score_gemma":0.0002381502,"domain_scores_codex":[0.9962794,0.0003080173,0.000809931,0.001037699,0.000845786,0.00071917],"domain_scores_gemma":[0.9974008,0.0001379566,0.0003384973,0.001204411,0.0008571023,0.00006122291],"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":[0.0001273262,0.0003754639,0.2631328,0.0006828138,0.0002176322,0.0002663822,0.0005727205,0.000007091304,0.7330772,0.0000196681,0.0004358806,0.001085012],"study_design_scores_gemma":[0.001197585,0.000173787,0.07044748,0.001054642,0.0001589399,0.0001473197,0.00004756284,0.001271444,0.8961938,0.00007912235,0.02873081,0.0004975299],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906279,0.002662649,0.001663828,0.0004113234,0.001044946,0.0008431356,0.00003036181,0.0003796869,0.002336098],"genre_scores_gemma":[0.988831,0.0002433133,0.0002539373,0.009569616,0.0004108722,0.00009615525,0.000356419,0.0001389413,0.00009968739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1926853,"threshold_uncertainty_score":0.9996803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06050584604420482,"score_gpt":0.3723292277738502,"score_spread":0.3118233817296454,"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."}}