{"id":"W3164101420","doi":"10.3390/v13060962","title":"Evaluation of Dried Blood Spot Testing for SARS-CoV-2 Serology Using a Quantitative Commercial Assay","year":2021,"lang":"en","type":"article","venue":"Viruses","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Liver Centre; University of Toronto; University Health Network","funders":"University of Toronto; Toronto General and Western Hospital Foundation","keywords":"Phlebotomy; Dried blood spot; Antibody; Dried blood; Serology; Medicine; Whole blood; Concordance; Immunology; Virology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Internal medicine; Chromatography; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003239572,0.0006465289,0.0003936017,0.001083431,0.0002040903,0.0006783708,0.0004316242,0.000503995,0.00128562],"category_scores_gemma":[0.005990818,0.0002141822,0.0003085654,0.0006064964,0.0004964512,0.0002934039,0.0002048682,0.0002931181,0.0005461049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002653601,"about_ca_system_score_gemma":0.0002191932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009190933,"about_ca_topic_score_gemma":0.0007240305,"domain_scores_codex":[0.9948977,0.001913313,0.0004239854,0.0005419127,0.001974864,0.0002483109],"domain_scores_gemma":[0.9964738,0.001567817,0.0004707796,0.0001642867,0.001160321,0.0001628863],"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":[0.003333972,0.0006893838,0.5245245,0.0005497998,0.000307629,0.001718627,0.0009125199,0.001062229,0.413271,0.0005682649,0.001629326,0.05143279],"study_design_scores_gemma":[0.0001141022,0.01007433,0.5520594,0.000120219,0.000249021,0.01101652,0.0006534596,0.01666037,0.4012882,0.0003485314,0.007340304,0.00007546713],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745325,0.002111947,0.01582173,0.0002126701,0.0001521963,0.0002678851,0.0006003209,0.000213876,0.006086881],"genre_scores_gemma":[0.9887518,0.0003581163,0.009488066,0.0001500302,0.00003378539,0.0000601181,0.0003983603,0.00001456974,0.0007450912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003239572,"threshold_uncertainty_score":0.0171327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4190380145256107,"score_gpt":0.4555389836155085,"score_spread":0.03650096908989775,"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."}}