{"id":"W4205534036","doi":"10.3390/v14020177","title":"Identifying Inhibitors of −1 Programmed Ribosomal Frameshifting in a Broad Spectrum of Coronaviruses","year":2022,"lang":"en","type":"article","venue":"Viruses","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Research Council Canada; National Institutes of Health; Canadian Institutes of Health Research; Alberta Innovates; Alberta Innovates - Technology Futures","keywords":"Translational frameshift; Coronavirus disease 2019 (COVID-19); Broad spectrum; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Coronavirus; Biology; Virology; Computational biology; Spectrum (functional analysis); Genetics; Medicine; Chemistry; RNA; Ribosome; Gene; Physics; Outbreak","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":[],"consensus_categories":[],"category_scores_codex":[0.0003003511,0.000111651,0.0001927754,0.00009763139,0.00006014786,0.000008633527,0.0002191636,0.00006248023,0.00009592008],"category_scores_gemma":[0.0001008088,0.0001185383,0.00008721589,0.0001914606,0.00006044765,0.000005568617,0.0002506636,0.00009282822,0.00000150189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001371923,"about_ca_system_score_gemma":0.00006180246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003762151,"about_ca_topic_score_gemma":0.00007786175,"domain_scores_codex":[0.9988735,0.000132932,0.0003458609,0.0002311959,0.000210944,0.0002055989],"domain_scores_gemma":[0.9994875,0.00002540797,0.0002139866,0.0002245023,0.00001821506,0.00003041979],"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":[0.0001296349,0.0001337073,0.03329817,0.00003992134,0.00002547444,0.000004535253,0.0001504151,0.00004075572,0.9606779,0.0002739971,0.000031017,0.005194472],"study_design_scores_gemma":[0.0003259686,0.0003317759,0.002875666,0.00003416302,0.000009021195,0.000005142568,0.0004499141,0.00000444276,0.9913962,0.0004430206,0.004001403,0.0001232225],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978173,0.001429405,0.0001600828,0.00002411894,0.0001493027,0.0002307025,0.00003545098,0.000009688915,0.0001439396],"genre_scores_gemma":[0.9987309,0.00005025405,0.0009465593,0.00008179413,0.00005752088,0.00007040027,0.00001198342,0.0000210844,0.00002951494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03071836,"threshold_uncertainty_score":0.4833852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02768938723456271,"score_gpt":0.2816952107820976,"score_spread":0.2540058235475349,"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."}}