{"id":"W3043548780","doi":"10.1101/2020.07.14.20154005","title":"A sensitive and affordable multiplex RT-qPCR assay for SARS-CoV-2 detection","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Biotechnology and Biological Sciences Research Council; Medical Research Council","keywords":"Multiplex; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Nucleic acid; RNA extraction; Coronavirus; Nucleic acid methods; Virology; Computational biology; Biology; RNA; Medicine; Bioinformatics; Pathology; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002215017,0.001277959,0.0007766049,0.0008810352,0.0003619215,0.0009930572,0.0007133033,0.001255367,0.003474545],"category_scores_gemma":[0.001696675,0.0005808428,0.0005721707,0.0003971544,0.0006454819,0.0005167318,0.000613416,0.001125085,0.003560282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004905346,"about_ca_system_score_gemma":0.000564785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003592229,"about_ca_topic_score_gemma":0.0007734748,"domain_scores_codex":[0.9970469,0.0005972543,0.0002022987,0.0008067596,0.00115957,0.0001872335],"domain_scores_gemma":[0.9993638,0.0002267477,0.0000810685,0.00009526051,0.0001790106,0.00005409456],"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":[0.00006436271,0.00008624297,0.0005320899,0.00008539939,0.00001166932,0.00003654307,0.00003671648,0.0004114508,0.9910899,0.0002816255,0.0007496718,0.006614168],"study_design_scores_gemma":[0.00001678542,0.0003075617,0.001941155,0.00002556761,0.00002405972,0.0002494622,0.00003077097,0.006328866,0.9779035,0.0003072,0.01283019,0.0000348395],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2269472,0.003490323,0.7424318,0.0009738858,0.001315746,0.00205013,0.008047629,0.005451513,0.009291718],"genre_scores_gemma":[0.3552614,0.001589495,0.6098427,0.0008892077,0.000365782,0.002149931,0.008973398,0.0004274404,0.02050066],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003474545,"threshold_uncertainty_score":0.01171422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08291929201998349,"score_gpt":0.3266416801179581,"score_spread":0.2437223880979746,"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."}}