{"id":"W3010665163","doi":"10.1101/2020.03.13.991083","title":"Structural and functional conservation of the programmed −1 ribosomal frameshift signal of SARS-CoV-2","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute of General Medical Sciences; Canadian Institutes of Health Research; U.S. Department of Energy; National Institutes of Health; National Science Foundation","keywords":"Frameshift mutation; Pseudoknot; Translational frameshift; Biology; Coronavirus; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Computational biology; Small molecule; Virology; Genetics; Coronavirus disease 2019 (COVID-19); Nucleotide; Gene; Medicine; Phenotype","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003739727,0.0003891998,0.0007014611,0.0001840785,0.00009725178,0.00006191636,0.0003224166,0.0004677004,0.000009562198],"category_scores_gemma":[0.000492102,0.0003132529,0.0002303635,0.0006042888,0.0005618812,0.0000856414,0.0005379588,0.0009989641,0.000004672031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001220878,"about_ca_system_score_gemma":0.001664873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000202943,"about_ca_topic_score_gemma":0.000006982771,"domain_scores_codex":[0.997272,0.0001475982,0.00064803,0.0006764022,0.0008815145,0.0003744687],"domain_scores_gemma":[0.9976721,0.0001264596,0.0005061666,0.0007432888,0.0008816415,0.0000702828],"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":[0.0003291428,0.0000712387,0.2148485,0.001059743,0.000219864,0.00001404886,0.00001778423,6.820861e-7,0.782688,0.0006064026,0.0001378288,0.000006803762],"study_design_scores_gemma":[0.0008560477,0.0001214255,0.3668316,0.000291957,0.0001330807,8.022901e-8,0.000003855553,0.0006916859,0.6290335,0.00001496053,0.001836451,0.0001853774],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962923,0.0005394703,0.000250669,0.001069335,0.0003643624,0.001225617,0.0001488166,0.00009950461,0.000009911224],"genre_scores_gemma":[0.9934324,0.000005349332,0.001042814,0.005060395,0.0002971403,0.00009838156,4.795432e-7,0.00006263409,4.281011e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1536545,"threshold_uncertainty_score":0.9999319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05242322608138868,"score_gpt":0.2901674011344641,"score_spread":0.2377441750530754,"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."}}