{"id":"W4210828237","doi":"10.1021/acsmeasuresciau.1c00057","title":"On-Site Viral Inactivation and RNA Preservation of Gargle and Saliva Samples Combined with Direct Analysis of SARS-CoV-2 RNA on Magnetic Beads","year":2022,"lang":"en","type":"article","venue":"ACS Measurement Science Au","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research; Alberta Innovates; Canada Research Chairs; Alberta Health; Natural Sciences and Engineering Research Council of Canada","keywords":"Saliva; RNA; Reverse transcriptase; Virology; Reverse transcription polymerase chain reaction; Chemistry; Real-time polymerase chain reaction; Medicine; Messenger RNA; Biochemistry; Gene","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":[0.001644775,0.0001120307,0.0002696866,0.0006497951,0.0002496615,0.0000209123,0.00009205536,0.00001869126,0.000005767233],"category_scores_gemma":[0.0008871566,0.00009343493,0.00003055445,0.00181896,0.0002395676,0.0001866324,0.0000570088,0.0001033681,2.751942e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003510351,"about_ca_system_score_gemma":0.0001653747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000986062,"about_ca_topic_score_gemma":0.0002405286,"domain_scores_codex":[0.9976308,0.00007249534,0.0002506732,0.0003167213,0.001561227,0.0001680985],"domain_scores_gemma":[0.9990121,0.0001169216,0.0002298567,0.0002462779,0.0003639901,0.00003084854],"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":[0.0003874608,0.0001544746,0.05123582,0.00002537015,0.00006343371,8.89194e-7,0.0005542689,0.0001249613,0.9451939,0.0001806234,0.0000161377,0.002062597],"study_design_scores_gemma":[0.0008959271,0.002538147,0.217449,0.0000675153,0.0002331474,0.000001923698,0.0001882228,0.002414514,0.7760582,0.00004730297,0.00002766659,0.00007843948],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976223,0.0000357081,0.0001155454,0.0001518551,0.00004439732,0.0002998725,0.000004870519,0.00002359988,0.00170184],"genre_scores_gemma":[0.999386,0.000002319304,0.0002070338,0.0003565134,0.000008145569,0.00001957677,0.000004180932,0.000007430032,0.00000882802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1691357,"threshold_uncertainty_score":0.3810166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08328085864341087,"score_gpt":0.2975494717975505,"score_spread":0.2142686131541396,"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."}}