{"id":"W4389372659","doi":"10.1371/journal.pgph.0001615","title":"Ensuring diagnostic testing accuracy for patient care and public health- COVID-19 testing scale-up from an EQA provider’s perspective","year":2023,"lang":"en","type":"article","venue":"PLOS Global Public Health","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Centers for Disease Control and Prevention; University of British Columbia; Provincial Health Services Authority","keywords":"Point-of-care testing; External quality assessment; Diagnostic test; Medicine; Retraining; Scale (ratio); Coronavirus disease 2019 (COVID-19); Test (biology); Test strategy; Medical physics; Medical emergency; Computer science; Emergency medicine; Pathology; Business; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.09651247,0.0004622285,0.0004316471,0.001652042,0.001664822,0.005616701,0.002628604,0.001943822,0.009384692],"category_scores_gemma":[0.1492114,0.00054383,0.0007999555,0.001136614,0.001610734,0.003485736,0.006483092,0.003225623,0.001890489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01063029,"about_ca_system_score_gemma":0.03190438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06840794,"about_ca_topic_score_gemma":0.04523755,"domain_scores_codex":[0.9205515,0.04040916,0.004860219,0.003254824,0.02237144,0.008552885],"domain_scores_gemma":[0.8557193,0.0374913,0.008586867,0.01058352,0.07107645,0.0165425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003397016,0.000944713,0.248091,0.0009819672,0.0002746059,0.0006575525,0.004417995,0.004157629,0.006899725,0.01684827,0.1500765,0.5663103],"study_design_scores_gemma":[0.0004973687,0.002856313,0.4491189,0.003524166,0.0003003511,0.001964942,0.009831988,0.02681749,0.008776001,0.01484979,0.4811697,0.0002930551],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1472631,0.005695848,0.1055996,0.5714118,0.003085323,0.004812511,0.003165978,0.00215868,0.156807],"genre_scores_gemma":[0.8462297,0.001583759,0.09295281,0.05056803,0.001094596,0.000992146,0.001122709,0.0002512597,0.005205073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09651247,"threshold_uncertainty_score":0.5104128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2091723767411421,"score_gpt":0.4024470106222676,"score_spread":0.1932746338811254,"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."}}