{"id":"W4220818448","doi":"10.2139/ssrn.4057604","title":"Clinical Performance of Three Commercial and Two In-House Multiplex Assays for SARS-CoV-2 Antibody Detection in Dried Blood Spot Specimens","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Christie (Canada); McGill University; National Research Council Canada; Mount Sinai Hospital; Centre for Global Health Research; University of Toronto; Sinai Health System; University of Ottawa; Public Health Agency of Canada","funders":"","keywords":"Multiplex; Dried blood spot; Virology; Dried blood; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Medicine; Chromatography; Biology; Chemistry; 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":[0.002992081,0.0008991996,0.0005276069,0.0004643821,0.0004014763,0.0008603147,0.000487475,0.0008464661,0.001199745],"category_scores_gemma":[0.006201113,0.0004555625,0.0003426425,0.000371118,0.0006811799,0.0003793601,0.0003117801,0.000694991,0.0006406618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000551718,"about_ca_system_score_gemma":0.0004023559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001186968,"about_ca_topic_score_gemma":0.001292032,"domain_scores_codex":[0.997234,0.0008913634,0.000204327,0.0007346213,0.0007132699,0.0002223116],"domain_scores_gemma":[0.9970618,0.001297752,0.0003696764,0.0002685481,0.000663012,0.0003392212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.03159278,0.00345524,0.4933301,0.0006672463,0.000658119,0.0007878885,0.003544171,0.002292758,0.35288,0.0005894824,0.004202542,0.1059997],"study_design_scores_gemma":[0.00102568,0.0329577,0.5281491,0.00008672235,0.0006744433,0.00394934,0.0007919493,0.01782657,0.4071155,0.0003179339,0.006986496,0.0001185105],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916366,0.000812467,0.004997,0.0001327238,0.0001525268,0.0001775989,0.0004720424,0.0002492947,0.001369759],"genre_scores_gemma":[0.996047,0.00009986196,0.002536603,0.0001186306,0.00003393966,0.00007064525,0.0003833693,0.00001642698,0.0006935087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002992081,"threshold_uncertainty_score":0.01582384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04755222263053362,"score_gpt":0.3537018858480162,"score_spread":0.3061496632174826,"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."}}