{"id":"W3134984287","doi":"10.1016/j.jmoldx.2021.02.009","title":"Microchip RT-PCR Detection of Nasopharyngeal SARS-CoV-2 Samples","year":2021,"lang":"en","type":"article","venue":"Journal of Molecular Diagnostics","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia; Recon Instruments (Canada); Simon Fraser University","funders":"Canadian Institutes of Health Research","keywords":"Gold standard (test); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Detection limit; Real-time polymerase chain reaction; Virology; Medicine; Disease control; Coronavirus; Biology; Chromatography; Infectious disease (medical specialty); Gene; Disease; Chemistry; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002497063,0.0001680587,0.0004630938,0.0002298157,0.00005327413,0.00002591723,0.00009775814,0.0001325987,0.000008737376],"category_scores_gemma":[0.004640405,0.0001614111,0.0003205953,0.0003871549,0.00006247902,0.00006976527,0.00004544661,0.0004367825,0.00001075964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000772249,"about_ca_system_score_gemma":0.0002197728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001439985,"about_ca_topic_score_gemma":0.00001353842,"domain_scores_codex":[0.9983991,0.0000801135,0.0006937762,0.0001611808,0.0004545459,0.0002113344],"domain_scores_gemma":[0.9977792,0.0004828134,0.0005152029,0.0002269362,0.000924776,0.00007110406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009769488,0.000229973,0.002175033,0.00009608079,0.0001755233,0.00185936,0.0001004714,0.000008595998,0.9885775,0.00003953336,0.0002204391,0.00641976],"study_design_scores_gemma":[0.001601321,0.0005891981,0.002430267,0.000372525,0.0003709593,0.004282634,0.0001369207,0.00007214525,0.9866877,0.000440239,0.002889916,0.0001262003],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977241,0.005286929,0.01619093,0.0002225831,0.0005957413,0.00009725914,0.00000647639,0.00002105005,0.0003380516],"genre_scores_gemma":[0.9899799,0.0002369595,0.007770735,0.001670946,0.0002930288,0.000001572261,0.000003132614,0.00003629133,0.000007421476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01273894,"threshold_uncertainty_score":0.6582155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03617429061140629,"score_gpt":0.2998897226047781,"score_spread":0.2637154319933718,"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."}}