{"id":"W3092830819","doi":"10.1097/cce.0000000000000184","title":"Molecular Diagnosis of Coronavirus Disease 2019","year":2020,"lang":"en","type":"review","venue":"Critical Care Explorations","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Center for Immunization and Respiratory Diseases; Centers for Disease Control and Prevention","keywords":"Coronavirus; Disease; Pandemic; Molecular diagnostics; Medicine; Intensive care medicine; Virology; Coronavirus disease 2019 (COVID-19); Public health; Pathology; Infectious disease (medical specialty); Bioinformatics; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.00003799376,0.0002660302,0.0009869669,0.0001355001,0.00007878468,0.00002863431,0.0001038159,0.0001540916,0.00008438881],"category_scores_gemma":[0.005584415,0.0002449078,0.000555308,0.0004441917,0.0001496741,0.00007878285,0.00006619377,0.0003791419,0.0002523251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000101224,"about_ca_system_score_gemma":0.0005565582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006395868,"about_ca_topic_score_gemma":0.000001537333,"domain_scores_codex":[0.9985123,0.0001151335,0.000522288,0.0003664516,0.0002954346,0.0001884536],"domain_scores_gemma":[0.9982042,0.0006855179,0.0000768438,0.000384293,0.0003805405,0.0002686063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001317176,0.0001789172,0.0000326452,0.02766244,0.0001018618,0.0006986536,0.0001800666,3.822719e-7,0.00004761952,0.005782584,0.0005529306,0.9647487],"study_design_scores_gemma":[0.0001313745,0.0001400729,0.000003255902,0.007589179,0.002717759,0.00002585554,0.0001781863,0.00001147909,0.0004671033,0.0000914577,0.9884154,0.0002289196],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000269214,0.9964498,0.0008762902,0.000403589,0.0003002081,0.0006237819,0.0003850556,0.0001348947,0.0007994226],"genre_scores_gemma":[0.006699059,0.9903122,0.000559247,0.0008161835,0.0003214819,0.0007762566,0.0004147657,0.00009177994,0.000009092531],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9878624,"threshold_uncertainty_score":0.9987051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2106860765843457,"score_gpt":0.4501035222706889,"score_spread":0.2394174456863432,"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."}}