{"id":"W4205972537","doi":"10.1101/2022.01.13.475409","title":"Immunogenicity of convalescent and vaccinated sera against clinical isolates of ancestral SARS-CoV-2, beta, delta, and omicron variants","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University Health Network; Toronto Public Health; Saskatchewan Health Authority; Sinai Health System; University of Regina; University of Waterloo; Sunnybrook Health Science Centre; Saskatchewan Health; University of Toronto; Dalhousie University; Toronto General Hospital; University of Saskatchewan; Systems, Applications & Products in Data Processing (Canada); Sunnybrook Hospital","funders":"Canadian Institutes of Health Research","keywords":"Virology; Immunogenicity; Neutralization; Neutralizing antibody; Antibody; Titer; Vaccination; Biology; Virus; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Medicine; Immunology; Infectious disease (medical specialty); Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003733437,0.0005782493,0.0002128601,0.0001618403,0.0001977814,0.0003220356,0.0002298639,0.0003727333,0.0007324911],"category_scores_gemma":[0.0005727938,0.0001489208,0.0002467442,0.0000938186,0.000222805,0.0001695499,0.0001679732,0.000556012,0.0002242391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000469488,"about_ca_system_score_gemma":0.0002811679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005461634,"about_ca_topic_score_gemma":0.00380455,"domain_scores_codex":[0.9997512,0.00003280339,0.00001687052,0.00004506385,0.00006951964,0.00008460955],"domain_scores_gemma":[0.9997007,0.00006005664,0.00004150752,0.0000245226,0.00008753018,0.00008587437],"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":[0.003196686,0.001681961,0.05760974,0.0001197532,0.00008735578,0.0002589036,0.0005453713,0.0003239952,0.9262467,0.0001017849,0.000424162,0.009403516],"study_design_scores_gemma":[0.0003998169,0.03510727,0.643999,0.00007252658,0.0001493563,0.00157037,0.0008826151,0.002616049,0.3124031,0.0001348856,0.002639621,0.0000253321],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993149,0.00008365918,0.00007240203,0.00001231841,0.0000106984,0.00001128847,0.00006301481,0.000005890654,0.0004258041],"genre_scores_gemma":[0.9989385,0.00005357425,0.00007957656,0.0000694222,0.000008847533,0.000009693918,0.0003419213,0.00000192301,0.0004965303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005461634,"threshold_uncertainty_score":0.01085967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04444359161570215,"score_gpt":0.3260113188564024,"score_spread":0.2815677272407002,"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."}}