{"id":"W4223897534","doi":"10.3390/pathogens11040462","title":"Comparative Evaluation of Six SARS-CoV-2 Real-Time RT-PCR Diagnostic Approaches Shows Substantial Genomic Variant–Dependent Intra- and Inter-Test Variability, Poor Interchangeability of Cycle Threshold and Complementary Turn-Around Times","year":2022,"lang":"en","type":"article","venue":"Pathogens","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Javna Agencija za Raziskovalno Dejavnost RS; Univerza v Ljubljani; European Commission; Government of Canada; Indian Council of Medical Research; Association of Public Health Laboratories","keywords":"Computational biology; Biology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Real-time polymerase chain reaction; Diagnostic test; Serial dilution; Virology; Genetics; Coronavirus disease 2019 (COVID-19); Medicine; Gene; Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007638908,0.001495883,0.0008809705,0.001694523,0.0004437359,0.001305117,0.0009240509,0.001363433,0.0009962864],"category_scores_gemma":[0.01112393,0.0008713532,0.001145961,0.001254548,0.001348589,0.0005957258,0.0008199567,0.0009621104,0.0007500784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006983568,"about_ca_system_score_gemma":0.0004236801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000570223,"about_ca_topic_score_gemma":0.001268842,"domain_scores_codex":[0.9849476,0.00421724,0.001403901,0.003785354,0.005072948,0.0005729346],"domain_scores_gemma":[0.9865963,0.00736484,0.001788326,0.001626806,0.002392707,0.0002311305],"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":[0.0009569644,0.0002245143,0.01380137,0.0002921446,0.000187534,0.00008068875,0.0005128899,0.00155297,0.964299,0.0002485806,0.000130242,0.01771308],"study_design_scores_gemma":[0.00002873098,0.002577535,0.05485332,0.00004420714,0.0002357495,0.000672635,0.0002262554,0.00640923,0.9326204,0.0004238663,0.001838165,0.00006997718],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8787148,0.002215046,0.1140167,0.0001263699,0.0001765551,0.0004244978,0.001026366,0.0007009811,0.002598615],"genre_scores_gemma":[0.8848147,0.0007854521,0.1088626,0.0002278588,0.00005223678,0.0006651756,0.002789165,0.000220644,0.001582138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007638908,"threshold_uncertainty_score":0.04039884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1213394324144304,"score_gpt":0.3278448439308017,"score_spread":0.2065054115163713,"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."}}