{"id":"W3034044049","doi":"10.1101/2020.06.01.20119602","title":"High seroprevalence for SARS-CoV-2 among household members of essential workers detected using a dried blood spot assay","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Canadian Institute for Advanced Research; Northwestern University","keywords":"Serology; Seroprevalence; Seroconversion; Medicine; Antibody; Dried blood spot; Transmission (telecommunications); Immunology; Virology; Internal medicine; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001013461,0.000681191,0.001468055,0.000499853,0.0001271842,0.00009085397,0.000876288,0.0007900765,0.00001554359],"category_scores_gemma":[0.001400648,0.0006727507,0.0007227815,0.0007842707,0.000487061,0.0001028012,0.0008471122,0.001504343,0.000007521179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001910506,"about_ca_system_score_gemma":0.001067979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001772783,"about_ca_topic_score_gemma":0.0001956379,"domain_scores_codex":[0.9950495,0.0002874116,0.001057121,0.001396429,0.001334603,0.0008749302],"domain_scores_gemma":[0.9969727,0.0004346086,0.0006274714,0.001339286,0.0004909709,0.0001350077],"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":[0.001221905,0.0002442691,0.1637056,0.003211014,0.0009008731,0.000284421,0.0003174778,0.00009364083,0.8296344,0.00001151399,0.0001874343,0.0001874854],"study_design_scores_gemma":[0.003407512,0.0002494628,0.01465784,0.001608874,0.001562965,0.00002704515,0.00008188267,0.008344778,0.968833,0.0001832411,0.0004676847,0.0005757227],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992085,0.0002703565,0.003478135,0.0002906744,0.0008053939,0.002487416,0.000143984,0.0003134522,0.0001256261],"genre_scores_gemma":[0.9920319,0.00001457673,0.005032427,0.001818495,0.0006190896,0.0002202581,0.00002958037,0.0002142058,0.00001948646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1490477,"threshold_uncertainty_score":0.9995724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08334903488926547,"score_gpt":0.3458611248766471,"score_spread":0.2625120899873816,"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."}}