{"id":"W3136620215","doi":"10.1101/2021.03.18.435972","title":"A single BNT162b2 mRNA dose elicits antibodies with Fc-mediated effector functions and boost pre-existing humoral and T cell responses","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de Santé Publique du Québec; Université de Montréal; McGill University; Centre Hospitalier de l’Université de Montréal","funders":"U.S. Military HIV Research Program; Fonds de Recherche du Québec - Santé; Genome Canada; Canadian Institutes of Health Research; National Institutes of Health; Génome Québec; Fondation du CHUM","keywords":"Antibody; Vaccine trial; Immunology; Effector; Context (archaeology); Vaccine efficacy; Population; Neutralizing antibody; Medicine; Virology; Immunity; Humoral immunity; Potency; Dosing; Biology; Immune system; Pharmacology; In vitro; Genetics","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":[0.0002781691,0.0004981894,0.0003596962,0.0001767094,0.0001335846,0.0002476845,0.0001599639,0.0004574371,0.003182607],"category_scores_gemma":[0.0002278749,0.0001228818,0.0002306001,0.00008392734,0.0002314091,0.0002048394,0.0001711725,0.001140234,0.000773277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002772445,"about_ca_system_score_gemma":0.0002337395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004795653,"about_ca_topic_score_gemma":0.0007008837,"domain_scores_codex":[0.9997388,0.00004920592,0.00001931553,0.00004850014,0.00006185134,0.0000824118],"domain_scores_gemma":[0.9998695,0.00003930217,0.00001888622,0.0000212583,0.00001837236,0.00003272159],"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":[0.0002499503,0.0003108348,0.0002572746,0.00003734653,0.000004904914,0.0000156108,0.00001520059,0.0001070882,0.9968304,0.00003417414,0.0001039154,0.002033412],"study_design_scores_gemma":[0.0001228097,0.01041741,0.006721103,0.00001398011,0.00002584622,0.0001800523,0.00004715427,0.001336577,0.9790126,0.00006882985,0.002048134,0.000005504391],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942679,0.00044128,0.002480287,0.0001230422,0.00008763025,0.0001393116,0.0003742453,0.0000949241,0.00199132],"genre_scores_gemma":[0.9923543,0.0002024279,0.002964319,0.0001311365,0.00003725138,0.0001389727,0.0007221929,0.0000257315,0.003423713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003182607,"threshold_uncertainty_score":0.01064694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03103363853144879,"score_gpt":0.2819491532571169,"score_spread":0.2509155147256681,"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."}}