{"id":"W3159684214","doi":"10.1111/vox.13100","title":"An international comparison of anti‐SARS‐COV‐2 assays used for seroprevalence surveys from blood component providers","year":2021,"lang":"en","type":"article","venue":"Vox Sanguinis","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Blood Services; Héma-Québec","funders":"","keywords":"Seroprevalence; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Virology; Component (thermodynamics); Medicine; Antibody; Immunology; Serology; Internal medicine; Outbreak","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006225478,0.0001846578,0.0005136633,0.0001410518,0.00006448392,0.00005928647,0.0003601086,0.0001308385,0.0000640433],"category_scores_gemma":[0.0005423301,0.0001757494,0.0001804134,0.0002374157,0.000121066,0.0001459099,0.00009661531,0.0002165866,0.00002355586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005667024,"about_ca_system_score_gemma":0.0003535684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001005706,"about_ca_topic_score_gemma":0.0003343754,"domain_scores_codex":[0.9976802,0.0002847024,0.0004822112,0.0005019895,0.00073899,0.0003118859],"domain_scores_gemma":[0.998153,0.0004613363,0.0001544011,0.000604004,0.0005704853,0.00005676468],"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":[0.00008997173,0.0008656094,0.4233192,0.0001119663,0.0002098414,0.00004435064,0.0005644088,0.00000196585,0.5726285,0.00004232054,0.0005526827,0.001569172],"study_design_scores_gemma":[0.00301246,0.0004000724,0.1392325,0.0001451385,0.0001349348,0.000009851282,0.0004829222,0.005226208,0.8411809,0.00007034926,0.00993491,0.0001697858],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951654,0.0003950937,0.002080589,0.0005153157,0.0003715521,0.0005153567,0.0003294487,0.00006632708,0.0005609011],"genre_scores_gemma":[0.9942038,0.000007457143,0.002687175,0.002534689,0.0002437999,0.00004533511,0.0002197675,0.0000354937,0.00002248337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2840868,"threshold_uncertainty_score":0.7166852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09295876948279447,"score_gpt":0.410123660184974,"score_spread":0.3171648907021795,"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."}}