{"id":"W3022520316","doi":"10.1101/2020.04.22.20074351","title":"Resilient SARS-CoV-2 diagnostics workflows including viral heat inactivation","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Thomas Hospital","funders":"Biotechnology and Biological Sciences Research Council; Medical Research Council; National Institute of Allergy and Infectious Diseases; European Commission; King's College London; Asthma and Lung UK; Kidney Research UK; National Institute for Health and Care Research; European and Developing Countries Clinical Trials Partnership; Wellcome Trust","keywords":"TaqMan; Virology; Nucleic acid; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); RNA; Viral load; Coronavirus disease 2019 (COVID-19); Primer (cosmetics); RNA extraction; Real-time polymerase chain reaction; Computational biology; Biology; Molecular biology; Virus; Chemistry; Medicine; Gene; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004249548,0.000484342,0.0007461723,0.0003352825,0.0001882097,0.00009077848,0.0002456757,0.0004632422,0.00001683856],"category_scores_gemma":[0.004733903,0.0004809871,0.0002607316,0.0004729349,0.00008366712,0.00008347307,0.0007495572,0.001722818,0.0001641287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004603514,"about_ca_system_score_gemma":0.0002292156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002113803,"about_ca_topic_score_gemma":0.00003337016,"domain_scores_codex":[0.9971811,0.0001463576,0.0007206907,0.0008797871,0.0006356794,0.0004363968],"domain_scores_gemma":[0.9982592,0.0004542324,0.0002546885,0.0007048558,0.0002194621,0.0001074892],"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":[0.0002098288,0.0001610195,0.05083253,0.0004690195,0.0001346118,0.0003112097,0.0006130303,0.00004708962,0.9407343,0.00009152542,0.002152831,0.004243043],"study_design_scores_gemma":[0.0009701442,0.0002059841,0.01505815,0.001352915,0.0002158718,0.00006520687,0.00006873019,0.006613272,0.9611655,0.001095808,0.01271089,0.0004774997],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868137,0.0004367224,0.002894269,0.002179426,0.001905303,0.0008679205,0.00001102465,0.0006085372,0.004283157],"genre_scores_gemma":[0.9910271,0.00008843878,0.002479377,0.004759841,0.001331457,0.0001101206,0.00005695321,0.0001080388,0.0000386848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03577438,"threshold_uncertainty_score":0.9997642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1064336182268711,"score_gpt":0.3490803709341309,"score_spread":0.2426467527072598,"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."}}