{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004644595,0.0006874986,0.0005325417,0.0004026679,0.0001747005,0.0005747185,0.0003682289,0.0004665787,0.0006881348],"category_scores_gemma":[0.0005187931,0.0003149837,0.0005426559,0.0001936615,0.0002699006,0.0003050094,0.0004574853,0.0004891791,0.0004547572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001540066,"about_ca_system_score_gemma":0.0002878211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003482729,"about_ca_topic_score_gemma":0.0008464645,"domain_scores_codex":[0.9990972,0.0001942077,0.00005711204,0.0002520108,0.000317966,0.00008135501],"domain_scores_gemma":[0.9997705,0.00005817898,0.00006132666,0.00003198567,0.00006087124,0.00001713385],"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":[0.00003206834,0.00001806714,0.0005118294,0.00004847665,0.000007986859,0.00002356692,0.00002552273,0.00003500694,0.9960709,0.0000143143,0.00001763422,0.003194652],"study_design_scores_gemma":[0.000005266631,0.000263993,0.004830878,0.00001265594,0.00002620879,0.0002340948,0.00003653091,0.001004316,0.9925378,0.00001811169,0.00101983,0.00001022094],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9287754,0.002283737,0.06547175,0.00009680197,0.0000960318,0.0003599708,0.0004298121,0.0003567133,0.002129765],"genre_scores_gemma":[0.8611637,0.00227847,0.1288188,0.0002921442,0.00007225313,0.0005033872,0.001777566,0.0001062384,0.004987339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006881348,"threshold_uncertainty_score":0.002456307,"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."}}