{"id":"W4378909063","doi":"10.14745/ccdr.v49i05a02","title":"Evolution of nucleic acid amplification testing across Canada as observed through the Canadian Laboratory Response Network's SARS-CoV-2 Proficiency Test Program, May 2020 to June 2021","year":2023,"lang":"en","type":"article","venue":"Canada Communicable Disease Report","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"British Columbia Centre for Disease Control; Public Health Agency; Public Health Agency of Canada; Alberta Precision Laboratories; Northwestern University","keywords":"Pandemic; Nucleic acid test; Test (biology); Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Nucleic Acid Amplification Tests; Public health; Diagnostic test; Medicine; Environmental health; Virology; Biology; Disease; Emergency medicine; Nursing; Pathology; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.003965514,0.0003413528,0.0002051297,0.00155546,0.003222166,0.002529396,0.002460309,0.000623574,0.001074232],"category_scores_gemma":[0.01108381,0.0004376045,0.0002390424,0.002350151,0.001767451,0.000483758,0.00126645,0.001195062,0.0001520146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08225358,"about_ca_system_score_gemma":0.1105558,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9891911,"about_ca_topic_score_gemma":0.9946024,"domain_scores_codex":[0.992638,0.0006901195,0.0002241599,0.0005326426,0.004069999,0.001845153],"domain_scores_gemma":[0.9803455,0.001118685,0.001644285,0.0002697736,0.01140222,0.005219531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008912613,0.0004116125,0.7523875,0.000282947,0.000119533,0.001636918,0.0131367,0.005525883,0.01386177,0.006033507,0.04847934,0.157233],"study_design_scores_gemma":[0.00001463524,0.0001627692,0.9564531,0.00006345324,0.00001308346,0.0001838693,0.003771066,0.001457742,0.001507323,0.0001261508,0.03619996,0.00004696612],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.898535,0.003157465,0.003407031,0.02618237,0.0003371386,0.0005626755,0.006480106,0.0005285837,0.06080964],"genre_scores_gemma":[0.9775527,0.001311425,0.002658778,0.003554072,0.00005565827,0.00006932664,0.001640517,0.00004418899,0.01311342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08225358,"threshold_uncertainty_score":0.5967943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06845174226595317,"score_gpt":0.3302898786183732,"score_spread":0.26183813635242,"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."}}