{"id":"W4220961149","doi":"10.1002/cti2.1380","title":"A scalable serology solution for profiling humoral immune responses to SARS‐CoV‐2 infection and vaccination","year":2022,"lang":"en","type":"article","venue":"Clinical & Translational Immunology","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":137,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Hospital; 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":"Krembil Foundation; University of Toronto; National Research Council Canada; Canada Foundation for Innovation; Ontario Ministry of Research, Innovation and Science; Government of Ontario; Canadian Institutes of Health Research; Genome Canada; Ontario Genomics; Royal Bank of Canada; Public Health Agency of Canada","keywords":"Serology; Immunology; Immune system; Profiling (computer programming); Virology; Vaccination; Medicine; Antibody; Coronavirus disease 2019 (COVID-19); Infectious disease (medical specialty); Computer science; Disease; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001864017,0.000142667,0.0003961654,0.0003293939,0.0004091416,0.00001631325,0.0001030768,0.0002102332,0.00003859863],"category_scores_gemma":[0.0008658767,0.0001501369,0.0001725566,0.0003402022,0.0001286997,0.0001106363,0.00009165963,0.0005553418,0.00002239138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001105351,"about_ca_system_score_gemma":0.0003998778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009163244,"about_ca_topic_score_gemma":0.00004419173,"domain_scores_codex":[0.9977549,0.0004892741,0.0007090479,0.0004625807,0.0002257383,0.000358454],"domain_scores_gemma":[0.9981596,0.001249172,0.0001059184,0.0002096726,0.0002483001,0.00002733522],"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":[0.01977202,0.0007672816,0.281936,0.0000863371,0.000294719,0.00001193233,0.0002549223,0.00001792788,0.6572963,0.004119172,0.0002292012,0.03521412],"study_design_scores_gemma":[0.007770521,0.005175564,0.8746698,0.00001877538,0.0001324316,0.0001943101,0.00005694209,0.006879163,0.03285476,0.005839471,0.06615681,0.000251383],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810541,0.0008152167,0.009046081,0.007135677,0.0004711188,0.00121218,0.00003189987,0.00008171587,0.000152017],"genre_scores_gemma":[0.9859891,0.00001483821,0.002781357,0.01040847,0.0001647828,0.0004599891,0.00008918341,0.00002604012,0.00006624858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6244416,"threshold_uncertainty_score":0.6122403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.127829313487605,"score_gpt":0.4525064659789341,"score_spread":0.3246771524913291,"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."}}