{"id":"W4226286100","doi":"10.1371/journal.pone.0261003","title":"Dried blood spot specimens for SARS-CoV-2 antibody testing: A multi-site, multi-assay comparison","year":2021,"lang":"en","type":"article","venue":"PLoS ONE","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control; University of British Columbia; Manitoba Health; Newborn Screening Ontario; Children's Hospital of Eastern Ontario; Public Health Agency of Canada; University of Ottawa; McGill University Health Centre; McGill University; University of Toronto; Sinai Health System; Institute of Infection and Immunity; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; University of Manitoba","funders":"Canadian Institutes of Health Research","keywords":"Serology; Dried blood spot; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Gold standard (test); Medicine; Coronavirus disease 2019 (COVID-19); Dried blood; Predictive value; Population; Virology; Antibody; Immunology; Biology; Internal medicine; Environmental health; Disease; Infectious disease (medical specialty)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003640181,0.000336362,0.0008423826,0.0001900854,0.0002297415,0.00008172524,0.0001219354,0.0001900764,0.00003135076],"category_scores_gemma":[0.005665033,0.0003547176,0.000177514,0.0006891498,0.00007846811,0.0001015003,0.00009605198,0.0004590148,0.000181393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008356835,"about_ca_system_score_gemma":0.0001764974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008290405,"about_ca_topic_score_gemma":0.0001462706,"domain_scores_codex":[0.99753,0.0000866084,0.0006441601,0.0006911879,0.0004647757,0.0005832941],"domain_scores_gemma":[0.9975178,0.0007093278,0.0002490358,0.0005705149,0.0008407418,0.0001126176],"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":[0.00008717773,0.00790555,0.08841923,0.0003067492,0.0004667454,0.0001785983,0.0003121484,8.953285e-7,0.9017817,0.00001256825,0.0001325523,0.0003960437],"study_design_scores_gemma":[0.007909113,0.0003938824,0.01232742,0.0006818242,0.0009747554,0.0001206803,0.0001304496,0.04153973,0.9347622,0.000009949078,0.0007926039,0.0003573454],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991848,0.0003247698,0.003994882,0.0002658293,0.0001642996,0.0009556903,0.00003924271,0.0005591353,0.001848169],"genre_scores_gemma":[0.7848716,0.000004306761,0.2125163,0.001332296,0.0003785912,0.00006055381,0.00008827309,0.00009144117,0.0006566778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2085214,"threshold_uncertainty_score":0.9998905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2421380647980317,"score_gpt":0.3655610453653036,"score_spread":0.123422980567272,"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."}}