{"id":"W3155543180","doi":"10.1016/j.jviromet.2021.114151","title":"Development and validation of a multiplex reverse transcriptase-PCR assay for simultaneous testing of influenza A, influenza B and SARS-CoV-2","year":2021,"lang":"en","type":"article","venue":"Journal of Virological Methods","topic":"Respiratory viral infections research","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; University of Alberta; Provincial Laboratory of Public Health","funders":"","keywords":"Multiplex; Virology; Biology; Pandemic; Coronavirus; Population; Virus; Multiplex polymerase chain reaction; Disease; Coronavirus disease 2019 (COVID-19); Polymerase chain reaction; Medicine; Infectious disease (medical specialty); Gene; Bioinformatics; Internal medicine; Environmental health; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004489849,0.001789554,0.001284685,0.001696327,0.0005918973,0.0012864,0.001377212,0.001663712,0.000991537],"category_scores_gemma":[0.004098868,0.001263616,0.001329343,0.0005781259,0.0007912258,0.0008473057,0.000880527,0.001332565,0.0009501033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006916078,"about_ca_system_score_gemma":0.001301416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001010089,"about_ca_topic_score_gemma":0.002248705,"domain_scores_codex":[0.9936413,0.001172195,0.0004689687,0.00177598,0.002571329,0.0003702704],"domain_scores_gemma":[0.9974238,0.0009236927,0.0003122264,0.0002938964,0.0008885743,0.0001578855],"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":[0.0002179671,0.0002268097,0.002429743,0.000117683,0.00005277813,0.00007308515,0.0001237104,0.0007030946,0.982588,0.0002465942,0.0001698287,0.01305068],"study_design_scores_gemma":[0.0001050613,0.002312179,0.007696527,0.00006793508,0.0001858043,0.00103165,0.0001069826,0.02526308,0.9559119,0.0003695432,0.006868415,0.00008093946],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4955169,0.002986785,0.4883477,0.0003863307,0.0007573472,0.003627796,0.002860031,0.001817961,0.003699175],"genre_scores_gemma":[0.4370489,0.001218162,0.5450282,0.0006380596,0.0001931013,0.003328149,0.005728042,0.000167885,0.006649684],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004489849,"threshold_uncertainty_score":0.02374488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3386014488449824,"score_gpt":0.5021527408382505,"score_spread":0.163551291993268,"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."}}