{"id":"W2023278036","doi":"10.1007/s00705-010-0906-7","title":"Development of a molecular-beacon-based multi-allelic real-time RT-PCR assay for the detection of human coronavirus causing severe acute respiratory syndrome (SARS-CoV): a general methodology for detecting rapidly mutating viruses","year":2011,"lang":"en","type":"article","venue":"Archives of Virology","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; Mount Sinai Hospital; Toronto Public Health; Toronto General Hospital; University of Toronto","funders":"Canadian Institutes of Health Research; Ontario Genomics; Ontario Genomics Institute; Genome Canada","keywords":"Biology; Molecular beacon; Multiplex; Virology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus; Population; Molecular diagnostics; Real-time polymerase chain reaction; Gene; Genetics; Computational biology; Coronavirus disease 2019 (COVID-19); Infectious disease (medical specialty); Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00394149,0.002203679,0.002032129,0.001651111,0.0006215128,0.0009095403,0.002356531,0.001978027,0.001710773],"category_scores_gemma":[0.002626741,0.0020238,0.001346324,0.0006468651,0.001197143,0.001175483,0.001054179,0.003986605,0.001630023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000715557,"about_ca_system_score_gemma":0.001148301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005568837,"about_ca_topic_score_gemma":0.001228509,"domain_scores_codex":[0.9965629,0.0008480038,0.0002661056,0.001157308,0.0008915364,0.000274091],"domain_scores_gemma":[0.9984549,0.0007028293,0.0001761298,0.0001701042,0.0003303297,0.000165632],"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":[0.0001721196,0.00009460509,0.0002710209,0.0001479169,0.00002411741,0.00003761049,0.00006763345,0.0003287381,0.9900264,0.0003480334,0.0001298801,0.008352088],"study_design_scores_gemma":[0.0001253294,0.0009776356,0.001113381,0.00004866341,0.00008878969,0.0004247914,0.00002617057,0.01023615,0.9820582,0.0002782881,0.004570142,0.00005247432],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.106311,0.001510437,0.8865416,0.0002964317,0.000334899,0.0009709662,0.0005446786,0.00213741,0.001352626],"genre_scores_gemma":[0.1402033,0.0009852576,0.8500044,0.0003262974,0.00006363021,0.001816145,0.002007588,0.0002400353,0.004353242],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00394149,"threshold_uncertainty_score":0.02084488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1963445642637388,"score_gpt":0.4131833906416036,"score_spread":0.2168388263778648,"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."}}