{"id":"W3189408477","doi":"10.1017/ice.2021.369","title":"Impact of coronavirus disease 2019 (COVID-19) pre-test probability on positive predictive value of high cycle threshold severe acute respiratory coronavirus virus 2 (SARS-CoV-2) real-time reverse transcription polymerase chain reaction (RT-PCR) test results","year":2021,"lang":"en","type":"article","venue":"Infection Control and Hospital Epidemiology","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; Impact; Public Health Ontario; Hospital for Sick Children; Queen's University; McMaster University; University Health Network; University of Toronto","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus; Virology; 2019-20 coronavirus outbreak; Medicine; Reverse transcription polymerase chain reaction; Betacoronavirus; Predictive value; Disease; Biology; Infectious disease (medical specialty); Internal medicine; Gene; Gene expression","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001574162,0.0005079725,0.001369831,0.0002660964,0.0002313806,0.0000124451,0.00008057843,0.0004741881,0.0000238111],"category_scores_gemma":[0.01313019,0.0004591051,0.000545771,0.0003797468,0.0005282502,0.0003034853,0.00004518846,0.0006110267,0.00001528134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006911823,"about_ca_system_score_gemma":0.0006583314,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01536794,"about_ca_topic_score_gemma":0.0002714787,"domain_scores_codex":[0.9956524,0.001003387,0.001473536,0.001060432,0.0002921315,0.0005180993],"domain_scores_gemma":[0.9933884,0.003941189,0.001124841,0.0006189888,0.0005720123,0.0003545551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01437861,0.002077089,0.183849,0.0001304635,0.000568717,0.0001119613,0.000235557,0.000613485,0.7946291,0.0001628828,0.000297942,0.002945215],"study_design_scores_gemma":[0.01069631,0.010781,0.9078684,0.0002453417,0.0008402742,0.0001831671,0.00001651214,0.004560522,0.06262086,0.001578244,0.0002000335,0.0004092708],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909782,0.000414322,0.0004666536,0.001125142,0.0004283971,0.001592999,0.00439026,0.0002305701,0.0003734714],"genre_scores_gemma":[0.9962834,0.000273771,0.00008204827,0.002629975,0.0002586782,0.0001047706,0.0002617647,0.00004695078,0.00005860853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7320082,"threshold_uncertainty_score":0.9997861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04402101894586377,"score_gpt":0.3557295029231497,"score_spread":0.3117084839772859,"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."}}