{"id":"W3196012090","doi":"10.1101/2021.08.23.21262499","title":"Comparative analyses of FDA EUA-approved rapid antigen tests and RT-PCR for COVID-19 quarantine and surveillance-based isolation","year":2021,"lang":"en","type":"preprint","venue":"medRxiv","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Notsew Orm Sands Foundation","keywords":"Quarantine; Isolation (microbiology); Transmission (telecommunications); Medicine; Test (biology); False positive paradox; Diagnostic test; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Test strategy; Turnaround time; Gold standard (test); Statistics; Virology; Computer science; Emergency medicine; Biology; Internal medicine; Disease; Bioinformatics; Infectious disease (medical specialty); Telecommunications; Pathology; Mathematics","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":[0.009509439,0.000668373,0.0008445671,0.001198215,0.0001880899,0.001258476,0.0008258723,0.0006861953,0.001248489],"category_scores_gemma":[0.01904004,0.0003753089,0.001409822,0.0009153268,0.0003846988,0.0007441474,0.0003513666,0.0005955228,0.0002713556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001581765,"about_ca_system_score_gemma":0.000798585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002249479,"about_ca_topic_score_gemma":0.001713505,"domain_scores_codex":[0.9935759,0.002834836,0.0004127961,0.001077185,0.001795326,0.0003040327],"domain_scores_gemma":[0.9691943,0.02073796,0.004988465,0.0009705751,0.003869544,0.0002391975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.01296746,0.002769442,0.2556583,0.002350035,0.002769392,0.0006539458,0.0003337872,0.4077487,0.1306528,0.005398447,0.003874953,0.1748227],"study_design_scores_gemma":[0.0002770445,0.02185283,0.1986236,0.0001540725,0.002138146,0.0009439192,0.0004945691,0.6403324,0.126354,0.002229678,0.006403653,0.000196236],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9591217,0.004834622,0.03034474,0.0002544648,0.00008087257,0.0001930422,0.001487895,0.0001556794,0.0035269],"genre_scores_gemma":[0.9908997,0.0005521615,0.006723337,0.00008020425,0.00002066708,0.00007176741,0.001132714,0.00002490863,0.0004944825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009509439,"threshold_uncertainty_score":0.05029136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1824871311635673,"score_gpt":0.4111038928609653,"score_spread":0.228616761697398,"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."}}