{"id":"W2153505916","doi":"10.1093/molbev/msh029","title":"Empirical Models for Substitution in Ribosomal RNA","year":2003,"lang":"en","type":"article","venue":"Molecular Biology and Evolution","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto; Ontario Institute for Cancer Research","funders":"","keywords":"Substitution (logic); Biology; Sequence (biology); RNA; Ribosomal RNA; Nucleic acid; Computational biology; Genetics; Algorithm; Mathematics; Computer science; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01080141,0.001568842,0.002576792,0.003689118,0.001319778,0.00402062,0.005986079,0.004412341,0.006802427],"category_scores_gemma":[0.03179693,0.001177445,0.002669279,0.003748327,0.003450743,0.00573948,0.002243539,0.004517922,0.003862943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00271536,"about_ca_system_score_gemma":0.001256204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004604232,"about_ca_topic_score_gemma":0.003763752,"domain_scores_codex":[0.9923138,0.003684495,0.0003867727,0.001862641,0.001197896,0.0005542529],"domain_scores_gemma":[0.9855994,0.01020179,0.001281354,0.001713221,0.0008782179,0.000325983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001487811,0.000113065,0.008625108,0.0002418578,0.0001992275,0.0003726155,0.0008822887,0.46779,0.00139472,0.4882095,0.004770656,0.02725233],"study_design_scores_gemma":[0.00003437334,0.00004561595,0.001203662,0.00005270279,0.00002485933,0.0002144743,0.00009483211,0.6931579,0.0002036045,0.3009523,0.003953383,0.00006239006],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08644477,0.003399835,0.8929439,0.002143242,0.0002857978,0.0002418345,0.001736013,0.001321299,0.01148332],"genre_scores_gemma":[0.8223084,0.003705504,0.1476911,0.001051275,0.0003870559,0.001514936,0.00410267,0.0008971341,0.01834203],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01080141,"threshold_uncertainty_score":0.05712396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01709471198324925,"score_gpt":0.2828984994811424,"score_spread":0.2658037874978932,"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."}}