{"id":"W4284680289","doi":"10.1002/smsc.202200009","title":"Rapid Antigen Diagnostics as Frontline Testing in the COVID‐19 Pandemic","year":2022,"lang":"en","type":"article","venue":"Small Science","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; McGill University; Vancouver Biotech (Canada)","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Usability; Virology; Diagnostic test; Medicine; Computer science; Disease; Infectious disease (medical specialty); Pathology; Veterinary medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004483731,0.0006628294,0.0007239184,0.00196372,0.0002666461,0.002525853,0.0008186595,0.001857337,0.002512219],"category_scores_gemma":[0.003052051,0.0003373737,0.0005970459,0.0009722178,0.0009563377,0.002438118,0.001062549,0.001461151,0.001400218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001105704,"about_ca_system_score_gemma":0.001696851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005217253,"about_ca_topic_score_gemma":0.0009864592,"domain_scores_codex":[0.9978539,0.0008034855,0.0001468197,0.0001982884,0.0008534546,0.0001440155],"domain_scores_gemma":[0.9978485,0.001158509,0.000270228,0.00006724642,0.0005352948,0.0001202176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002692811,0.0001112076,0.002003288,0.008833903,0.00006063002,0.0009310945,0.0003350794,0.0006850571,0.0185708,0.03555989,0.01970294,0.9129367],"study_design_scores_gemma":[0.00002354781,0.0007718577,0.002028381,0.004566215,0.0001427392,0.003381413,0.0004145744,0.001008101,0.0178086,0.0129806,0.9568139,0.00006010116],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.005300555,0.9594705,0.01174537,0.006726569,0.001496898,0.00009775137,0.0001214838,0.0001087054,0.0149321],"genre_scores_gemma":[0.04396901,0.9246736,0.019565,0.00418493,0.001593382,0.0001180727,0.0001814879,0.00003645731,0.005678175],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004483731,"threshold_uncertainty_score":0.02371252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1833978467465103,"score_gpt":0.3516856534816895,"score_spread":0.1682878067351792,"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."}}