{"id":"W3209985967","doi":"10.1101/2021.10.25.21265476","title":"A scalable serology solution for profiling humoral immune responses to SARS-CoV-2 infection and vaccination","year":2021,"lang":"en","type":"preprint","venue":"medRxiv","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Manitoba; University of Ottawa; Public Health Agency of Canada; Canadian Blood Services; Sunnybrook Health Science Centre; Health Sciences Centre; Institute of Infection and Immunity; National Research Council Canada; University of Toronto; Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute","funders":"","keywords":"Antibody; Virology; Immunology; Vaccination; Serology; Immune system; Antigen; Seroprevalence; Immunoassay; Antibody Repertoire; Neutralization; Biology; Medicine","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":[0.001988034,0.001610204,0.001156506,0.001837434,0.0003829589,0.001374221,0.00144174,0.001225741,0.004345607],"category_scores_gemma":[0.00266227,0.0008931967,0.0009109588,0.0005969913,0.0003731302,0.0009506562,0.001446726,0.001388157,0.004096327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004418828,"about_ca_system_score_gemma":0.0006928965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006542388,"about_ca_topic_score_gemma":0.0008840924,"domain_scores_codex":[0.9971381,0.0003811727,0.0002166642,0.0008524065,0.00122029,0.0001913427],"domain_scores_gemma":[0.9982895,0.0003536129,0.0002610386,0.0003329863,0.0005890228,0.0001737437],"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":[0.0007625023,0.0004928661,0.01125874,0.0005915267,0.000223375,0.0002401032,0.0001350935,0.004032549,0.858705,0.000982551,0.01026246,0.1123133],"study_design_scores_gemma":[0.0001883613,0.00117036,0.0156952,0.0001964541,0.0002053763,0.0007670329,0.0001495502,0.09386956,0.8407917,0.002181272,0.04459336,0.0001918399],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1184356,0.001665866,0.8157219,0.0009236478,0.000565004,0.002602027,0.01208951,0.04223665,0.005759805],"genre_scores_gemma":[0.2778464,0.00104143,0.6946993,0.000941406,0.0003211641,0.004093714,0.01260946,0.001401689,0.007045435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004345607,"threshold_uncertainty_score":0.01453745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08023445443948107,"score_gpt":0.3900922663557896,"score_spread":0.3098578119163085,"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."}}