{"id":"W3018320276","doi":"10.1101/2020.04.19.20071373","title":"Scalable and Resilient SARS-CoV-2 testing in an Academic Centre","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ottawa Mental Health Centre","funders":"Medical Research Council; Horizon 2020 Framework Programme; National Institute for Health and Care Research; Wellcome Trust; Francis Crick Institute; Cancer Research UK; University College London Hospitals NHS Foundation Trust; Breast Cancer Research Foundation","keywords":"Bespoke; Turnaround time; Pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Economic shortage; Personal protective equipment; Health care; Medical emergency; Computer science; Virology; Business; Medicine; Operations management; Engineering; Pathology; Infectious disease (medical specialty)","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":[0.0005316482,0.0003557656,0.0006035325,0.0002781487,0.00007556585,0.00005162407,0.0001963754,0.0004627975,0.00000859609],"category_scores_gemma":[0.002661298,0.0003508362,0.00006894739,0.0004775606,0.00008802475,0.00009899132,0.0004634743,0.002231807,0.00005033303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001292648,"about_ca_system_score_gemma":0.000183194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002701261,"about_ca_topic_score_gemma":0.0001084133,"domain_scores_codex":[0.9975471,0.0001398111,0.0006043005,0.0009228791,0.0003479445,0.0004379111],"domain_scores_gemma":[0.9988412,0.0002139779,0.0002247089,0.0004621534,0.0001238281,0.0001341],"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":[0.00005314373,0.00004221752,0.4384362,0.0003381648,0.00001413452,0.000187257,0.0004359297,0.000007409701,0.5566918,0.00001207518,0.0001128458,0.003668881],"study_design_scores_gemma":[0.001902986,0.000218337,0.1422991,0.00268076,0.0001448064,0.0001968968,0.0002837963,0.02727545,0.8202325,0.001249858,0.00287104,0.0006444746],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944512,0.0005844583,0.0000490494,0.001218572,0.0003622746,0.0005857541,0.000006772635,0.0003555804,0.002386325],"genre_scores_gemma":[0.9943259,0.00002268662,0.002606591,0.002504979,0.0003874261,0.0000238751,0.00001297257,0.00006957197,0.00004595584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2961371,"threshold_uncertainty_score":0.9998944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1149511389675446,"score_gpt":0.3475788542636683,"score_spread":0.2326277152961237,"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."}}