{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01652812,0.001171964,0.001037369,0.00335939,0.0005046793,0.001995395,0.001008426,0.0008575786,0.001044324],"category_scores_gemma":[0.01857655,0.0004328489,0.0008772547,0.001802488,0.0007166004,0.0007528304,0.001092758,0.0005851045,0.0003059857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002223063,"about_ca_system_score_gemma":0.001468149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03863929,"about_ca_topic_score_gemma":0.08063299,"domain_scores_codex":[0.9861634,0.003827315,0.001127291,0.001883492,0.006407908,0.0005904691],"domain_scores_gemma":[0.9769418,0.008179297,0.002703431,0.002055243,0.009351742,0.0007685919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006806876,0.0004629781,0.8271736,0.001309714,0.004630375,0.0003420728,0.001551291,0.00351985,0.03061563,0.000516736,0.001673525,0.1213974],"study_design_scores_gemma":[0.00008666809,0.004177165,0.9677549,0.0001221663,0.001144823,0.001206613,0.000615813,0.005997319,0.0141015,0.0001392318,0.004585558,0.00006822369],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9647084,0.01217997,0.01341017,0.0002862947,0.0001598444,0.0005840895,0.00255141,0.0001963575,0.005923297],"genre_scores_gemma":[0.9870057,0.002075405,0.007821928,0.0001820537,0.00005116202,0.00008237449,0.001997038,0.0000362955,0.0007479971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03863929,"threshold_uncertainty_score":0.08741009,"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."}}