{"id":"W2137309356","doi":"10.1093/nar/gkl120","title":"Automated extraction and classification of RNA tertiary structure cyclic motifs","year":2006,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stacking; Biology; RNA; Base pair; Protein tertiary structure; Ribosomal RNA; Structural motif; Computational biology; Nucleotide; Crystallography; Genetics; DNA; Biochemistry; Gene; Chemistry","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":[0.0005351217,0.0005950729,0.000806964,0.003730786,0.000560544,0.0009504573,0.000699094,0.0005649001,0.001999377],"category_scores_gemma":[0.001791948,0.0002797582,0.0006544533,0.001910693,0.0002772485,0.000649967,0.0004743784,0.0005999345,0.001169436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005263858,"about_ca_system_score_gemma":0.0009295678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002464798,"about_ca_topic_score_gemma":0.002935405,"domain_scores_codex":[0.9995415,0.00007262372,0.00003693323,0.000158934,0.0001188096,0.00007127082],"domain_scores_gemma":[0.9990073,0.0002732943,0.0001516974,0.00015775,0.0003483334,0.00006167301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000665203,0.0002364374,0.01497245,0.0006189678,0.000104308,0.0003279821,0.0003061301,0.01151808,0.2811835,0.002885252,0.005215754,0.6819658],"study_design_scores_gemma":[0.00009055271,0.0003434041,0.05391995,0.0000818003,0.000133607,0.0008646433,0.0002927175,0.7417078,0.1737166,0.009480495,0.01926478,0.0001035315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4800138,0.001230659,0.4955633,0.0002253153,0.00005916956,0.0005098273,0.006937934,0.01173521,0.003724756],"genre_scores_gemma":[0.4658118,0.0004551508,0.5163187,0.00005298451,0.00004224298,0.0002808822,0.01442095,0.0004429606,0.002174289],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003730786,"threshold_uncertainty_score":0.006688595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02305641376519444,"score_gpt":0.3200995931367373,"score_spread":0.2970431793715428,"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."}}