{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002712264,0.00008488694,0.0001147927,0.0001706367,0.0006439684,0.00004077464,0.0003791879,0.0000189768,0.00007323414],"category_scores_gemma":[0.01486233,0.0000636699,0.00002648695,0.001760112,0.0002531324,0.0000557274,0.0001713201,0.0003656119,0.00002418533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001954631,"about_ca_system_score_gemma":0.0006176044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007527745,"about_ca_topic_score_gemma":0.000117566,"domain_scores_codex":[0.9986011,0.0000891688,0.0001948333,0.0003018833,0.0004913515,0.0003216847],"domain_scores_gemma":[0.9984716,0.001039663,0.00007883429,0.0002632311,0.00006118492,0.00008546754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002334711,0.0001061461,0.8513507,0.00001318634,0.000002625383,0.0002437513,0.001999532,0.0001308218,0.12374,0.0001316012,0.0002172691,0.02204103],"study_design_scores_gemma":[0.005605305,0.0027498,0.6300203,0.0001478327,0.0000894306,0.01168548,0.01258304,0.04430644,0.02876464,0.003511518,0.2595472,0.0009890406],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990918,0.0003576358,0.0001690305,0.0008985053,0.0002430405,0.0002786293,0.000002262597,0.0001069868,0.007025849],"genre_scores_gemma":[0.9830297,0.00001489072,0.001294086,0.01548234,0.00009017314,0.0000341547,0.000001198342,0.000007332986,0.0000461245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2593299,"threshold_uncertainty_score":0.9934359,"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."}}