{"id":"W4210490000","doi":"10.21203/rs.3.rs-86922/v1","title":"Efficient SARS-CoV-2 detection in unextracted oro-nasopharyngeal specimens by rRT-PCR with the Seegene AllplexTM 2019-nCoV assay","year":2020,"lang":"en","type":"preprint","venue":"Research Square","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Université du Québec à Trois-Rivières; Armand Frappier Museum","funders":"","keywords":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Virology; Detection limit; Viral load; RNase P; False positive paradox; Economic shortage; 2019-20 coronavirus outbreak; Biology; Chromatography; Medicine; Chemistry; Virus; Gene; RNA; Pathology; Outbreak","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":[0.002825832,0.001234466,0.0008862591,0.001111814,0.0003200837,0.0007768465,0.000768624,0.0008523026,0.002343626],"category_scores_gemma":[0.003165395,0.0007202012,0.0005156423,0.0005548666,0.0006193453,0.0006076851,0.0005445137,0.0008717871,0.003329867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000226484,"about_ca_system_score_gemma":0.0004185911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004379035,"about_ca_topic_score_gemma":0.0008555378,"domain_scores_codex":[0.9949592,0.001913315,0.0005258007,0.00103003,0.001266738,0.0003048872],"domain_scores_gemma":[0.9986299,0.0006702821,0.0001537447,0.0001946898,0.0003115896,0.00003988442],"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":[0.00007017083,0.00005880279,0.001012367,0.00007363552,0.000008585592,0.00002543002,0.00004390835,0.0001151011,0.995905,0.00003916221,0.0001030305,0.002544776],"study_design_scores_gemma":[0.00001515667,0.0004623607,0.006714009,0.00003287241,0.00004455456,0.0003354675,0.00004579036,0.004567048,0.9852245,0.00007470742,0.002456553,0.00002702118],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.607699,0.002275429,0.3782039,0.0003054788,0.0003096042,0.001354849,0.003547695,0.002149592,0.004154577],"genre_scores_gemma":[0.4578622,0.00184051,0.5222242,0.0004576545,0.000119327,0.001704587,0.007891263,0.0007048023,0.007195547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002825832,"threshold_uncertainty_score":0.01494455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08620834026358586,"score_gpt":0.3836312564582549,"score_spread":0.297422916194669,"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."}}