{"id":"W3021293586","doi":"10.1101/2020.04.28.20081844","title":"Enzyme immunoassay for SARS-CoV-2 antibodies in dried blood spot samples: A minimally-invasive approach to facilitate community- and population-based screening","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Canadian Institute for Advanced Research; Northwestern University","keywords":"Serology; Antibody; Immunoassay; Dried blood spot; Population; Medicine; Immunoglobulin G; Virology; Antigen; Immunology; 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":[0.001052589,0.0009192962,0.0006419711,0.001178869,0.0001765304,0.0007018356,0.0009032591,0.0007288501,0.001819828],"category_scores_gemma":[0.001152228,0.0004554648,0.000468642,0.0005042088,0.0002541881,0.0003009966,0.0005910942,0.000615686,0.001195832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001543392,"about_ca_system_score_gemma":0.0002467245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003385157,"about_ca_topic_score_gemma":0.0009510235,"domain_scores_codex":[0.9984353,0.00042383,0.00008045653,0.0002275662,0.0007719257,0.00006084024],"domain_scores_gemma":[0.9992815,0.0002457492,0.0001144223,0.00006593606,0.000233553,0.00005877066],"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":[0.0002040244,0.000290826,0.007005,0.0001431312,0.00004212365,0.0001124845,0.00002972882,0.0002587711,0.964993,0.00009808765,0.0007274342,0.02609529],"study_design_scores_gemma":[0.0001065532,0.00232032,0.05410754,0.00006457431,0.0001668247,0.00282515,0.0001354135,0.01662442,0.9150262,0.0003755899,0.008161318,0.00008619852],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5340699,0.003681571,0.4472885,0.0009155283,0.0004553811,0.001368656,0.002813191,0.0036529,0.005754314],"genre_scores_gemma":[0.5042564,0.001654593,0.4859869,0.0008115502,0.0002276596,0.0007388731,0.002174056,0.0001106647,0.004039336],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001819828,"threshold_uncertainty_score":0.006087899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1808185260871413,"score_gpt":0.359738488506862,"score_spread":0.1789199624197207,"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."}}