{"id":"W3140245308","doi":"10.21203/rs.3.rs-366992/v1","title":"Dried blood spot specimens for SARS-CoV-2 antibody testing: A multi-site, multi-assay comparison","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control; University of British Columbia; Manitoba Health; Children's Hospital of Eastern Ontario; Public Health Agency of Canada; University of Ottawa; McGill University; Newborn Screening Ontario; 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); Predictive value; Coronavirus disease 2019 (COVID-19); Medicine; Dried blood; Population; Antibody; Virology; Diagnostic test; Immunology; Internal medicine; Biology; Veterinary medicine; Environmental health; Disease; Chemistry; 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":[0.01732924,0.001263985,0.001131509,0.003272638,0.0005600965,0.002061311,0.001020064,0.0009200493,0.00142624],"category_scores_gemma":[0.01828737,0.0004016864,0.0008541339,0.001823694,0.0008080197,0.0006496416,0.001086422,0.0005469543,0.0003946935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002259589,"about_ca_system_score_gemma":0.001313263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03730006,"about_ca_topic_score_gemma":0.05955451,"domain_scores_codex":[0.9844196,0.005461086,0.0009242144,0.002074016,0.006498188,0.0006228118],"domain_scores_gemma":[0.9786537,0.007792653,0.002576601,0.001958227,0.008332782,0.0006860154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0104813,0.0007902847,0.8334317,0.001155693,0.005041898,0.0003720633,0.00133099,0.003802064,0.03752592,0.0005402931,0.00226727,0.1032606],"study_design_scores_gemma":[0.0001312373,0.005242259,0.9616972,0.0001091614,0.001427978,0.001041705,0.0007058884,0.007258623,0.01759766,0.0001901578,0.004525079,0.00007305718],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9694662,0.008745003,0.01305641,0.0002447971,0.0001595613,0.0006618524,0.002540085,0.0001729259,0.00495306],"genre_scores_gemma":[0.9889101,0.001122806,0.007046033,0.0001547809,0.0000516351,0.0000781141,0.001792723,0.00003365164,0.000810223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03730006,"threshold_uncertainty_score":0.09164685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3225194778174958,"score_gpt":0.4974318869192568,"score_spread":0.174912409101761,"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."}}