{"id":"W3164708024","doi":"10.1016/j.jmoldx.2021.04.014","title":"SARS-CoV-2 RNA Quantification Using Droplet Digital RT-PCR","year":2021,"lang":"en","type":"article","venue":"Journal of Molecular Diagnostics","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; St. Paul's Hospital; AIDS Vancouver; Simon Fraser University","funders":"Canadian Institutes of Health Research; Genome British Columbia; Michael Smith Health Research BC; Public Health Agency; Public Health Agency of Canada","keywords":"Digital polymerase chain reaction; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Primer (cosmetics); Viral load; Real-time polymerase chain reaction; RNA; Coronavirus disease 2019 (COVID-19); Virology; Biology; Computational biology; Molecular biology; Chemistry; Polymerase chain reaction; Gene; Medicine; Genetics; Virus; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002574591,0.002273435,0.001220199,0.002336985,0.0008828848,0.001558541,0.001502665,0.001489085,0.008680232],"category_scores_gemma":[0.002150104,0.001304665,0.001157731,0.001440705,0.00168794,0.001142268,0.0007979205,0.002896311,0.004425295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009780527,"about_ca_system_score_gemma":0.0007876945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004973336,"about_ca_topic_score_gemma":0.001201308,"domain_scores_codex":[0.9949213,0.0008579296,0.0004193059,0.001837776,0.001523129,0.000440697],"domain_scores_gemma":[0.9985713,0.0005911231,0.0001418422,0.00023248,0.0004053625,0.00005783388],"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":[0.0001493819,0.0001486523,0.0006511973,0.0001946112,0.000025898,0.00004730875,0.0001295148,0.0003615418,0.9903228,0.0009434727,0.0004562847,0.00656942],"study_design_scores_gemma":[0.00005145433,0.0004395407,0.001690019,0.00005226756,0.00005999447,0.0001937634,0.00006971139,0.01327871,0.9745508,0.001027674,0.008542758,0.00004336378],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1821056,0.002274602,0.7832542,0.0005360294,0.001396698,0.003589516,0.006754181,0.005033674,0.01505547],"genre_scores_gemma":[0.1932912,0.001691478,0.774174,0.0009752008,0.0003873177,0.005485585,0.007747396,0.0008313117,0.01541658],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008680232,"threshold_uncertainty_score":0.02903825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0589925252920331,"score_gpt":0.3281819300991424,"score_spread":0.2691894048071093,"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."}}