{"id":"W3173737138","doi":"10.2139/ssrn.3782450","title":"Age-Related Heterogeneity in Neutralising Antibody Responses to SARS-CoV-2 Following BNT162b2 Vaccination","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Infection and Immunity","funders":"","keywords":"Medicine; Vaccination; Neutralization; Antibody; Immune system; Pandemic; Dosing; Titer; Coronavirus disease 2019 (COVID-19); Cohort; Immunology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Neutralizing antibody; Disease; Internal medicine; Infectious disease (medical specialty)","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":[0.0005419524,0.0001695066,0.0002726153,0.0002761969,0.0001128364,0.0003267559,0.0001602814,0.0003788845,0.002812368],"category_scores_gemma":[0.001494565,0.0001624008,0.0002133311,0.000151676,0.0001147721,0.0004590052,0.0002245536,0.0005176784,0.0006133903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000171628,"about_ca_system_score_gemma":0.0001043498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006552307,"about_ca_topic_score_gemma":0.0004723008,"domain_scores_codex":[0.9997256,0.00004910346,0.00002277844,0.00007770337,0.00003823853,0.00008647513],"domain_scores_gemma":[0.9992454,0.0002064035,0.0002356611,0.0001039727,0.0001044054,0.0001043228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01415729,0.0004807941,0.3339472,0.0001046926,0.000188802,0.0009321948,0.0005956046,0.0007315791,0.6256942,0.000408742,0.0008833657,0.02187562],"study_design_scores_gemma":[0.00002925095,0.001845535,0.9804091,0.00000789343,0.0000577398,0.0009104104,0.0001424597,0.0006002155,0.01468665,0.0001405427,0.001158908,0.00001116832],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986777,0.0002680579,0.0001178201,0.00001772899,0.00001723677,0.000006104091,0.0001928128,0.000003289069,0.0006993545],"genre_scores_gemma":[0.9987341,0.0000749867,0.00003440588,0.00003215973,0.00001427199,0.000006667766,0.0001964135,0.000004253268,0.0009027499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002812368,"threshold_uncertainty_score":0.009408295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03708165047322142,"score_gpt":0.3889679772185541,"score_spread":0.3518863267453327,"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."}}