{"id":"W4213454264","doi":"10.1128/spectrum.02563-21","title":"Estimating SARS-CoV-2 Seroprevalence in Canadian Blood Donors, April 2020 to March 2021: Improving Accuracy with Multiple Assays","year":2022,"lang":"en","type":"article","venue":"Microbiology Spectrum","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Ottawa; Canadian Blood Services; Lunenfeld-Tanenbaum Research Institute; Public Health Ontario; University of Toronto; Public Health Agency of Canada","funders":"Canadian Institutes of Health Research; Abbott Diagnostics; Public Health Agency of Canada; Government of Canada; Alberta Innovates; Krembil Foundation; Canadian Blood Services; Public Health Agency","keywords":"Seroprevalence; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Virology; Medicine; Betacoronavirus; Coronavirus Infections; Sars virus; Immunology; Internal medicine; Antibody; Serology; Infectious disease (medical specialty); Outbreak","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":[0.004368106,0.0008482133,0.0006598319,0.002158668,0.001465266,0.001774812,0.001171078,0.0004332619,0.001015594],"category_scores_gemma":[0.007854997,0.0003723726,0.000583112,0.001645456,0.0004520236,0.0003735557,0.000595114,0.0007828134,0.000346018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007585044,"about_ca_system_score_gemma":0.006114129,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8028393,"about_ca_topic_score_gemma":0.8781316,"domain_scores_codex":[0.9968641,0.0006049345,0.0001797484,0.000402563,0.00143593,0.0005126156],"domain_scores_gemma":[0.9973963,0.000500638,0.0005464376,0.0002709118,0.001107437,0.0001781603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002105004,0.00004216538,0.9581548,0.00007789653,0.0001526259,0.00006978046,0.0002513615,0.002845638,0.001629341,0.0003027953,0.002517903,0.03374516],"study_design_scores_gemma":[0.00002202006,0.000101963,0.951916,0.00008892814,0.0001585284,0.0003355934,0.0005414135,0.03394503,0.004871583,0.0003676813,0.007598761,0.00005260328],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9332814,0.004521988,0.03324655,0.00184287,0.0002274487,0.0003601015,0.01109279,0.0008677515,0.01455914],"genre_scores_gemma":[0.9813455,0.0005427282,0.01438162,0.0002047803,0.00002997359,0.00004803474,0.001775067,0.00002123719,0.001651106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1971607,"threshold_uncertainty_score":0.3966435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01784239153520154,"score_gpt":0.2924733660987235,"score_spread":0.274630974563522,"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."}}