{"id":"W4318771344","doi":"10.1038/s41586-022-05664-3","title":"Structural basis for substrate selection by the SARS-CoV-2 replicase","year":2023,"lang":"en","type":"article","venue":"Nature","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":85,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Common Fund; National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences; Canadian Institutes of Health Research; National Institutes of Health; Gilead Sciences; Simons Foundation","keywords":"Nucleoside triphosphate; RNA polymerase; RNA-dependent RNA polymerase; Nucleoside; RNA; Nucleotide; Polymerase; Viral replication; Transcription (linguistics); Biology; Biochemistry; Nucleotidyltransferase; Guanosine triphosphate; Chemistry; Computational biology; Enzyme; Virology; Virus; Gene","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":[0.0003961692,0.000443689,0.0006471876,0.000158037,0.0004973654,0.0009230407,0.0005262957,0.0009656643,0.003202527],"category_scores_gemma":[0.0006572166,0.0003168342,0.0006031875,0.0001045704,0.0003882124,0.0005362255,0.0003395718,0.0009189033,0.001794569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000435037,"about_ca_system_score_gemma":0.0003843697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002894171,"about_ca_topic_score_gemma":0.0003704472,"domain_scores_codex":[0.9997832,0.0000460315,0.00001840066,0.00004501118,0.00005232494,0.00005504066],"domain_scores_gemma":[0.9997097,0.00009506517,0.00004340985,0.00004419462,0.00004299631,0.00006461766],"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":[0.0004723067,0.0001002262,0.002233381,0.0001027428,0.00003708605,0.001357826,0.0000880731,0.003006334,0.9780383,0.009187936,0.0009706829,0.004405075],"study_design_scores_gemma":[0.0003900972,0.001124059,0.01739934,0.00008486701,0.0000769094,0.004190191,0.0004688409,0.07195275,0.8780802,0.009318095,0.01678634,0.0001282263],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9667324,0.002873308,0.01876432,0.001208191,0.0004920759,0.00006244533,0.000220364,0.0002995104,0.009347386],"genre_scores_gemma":[0.9959162,0.0003453158,0.002187358,0.0002185376,0.00003672649,0.00001122462,0.0001589603,0.00001775174,0.001108028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003202527,"threshold_uncertainty_score":0.01071352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04489750724343199,"score_gpt":0.3836887872538391,"score_spread":0.3387912800104071,"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."}}