{"id":"W2102948308","doi":"10.1093/nar/gku292","title":"e-RNA: a collection of web servers for comparative RNA structure prediction and visualisation","year":2014,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"RNA; Biology; Nucleic acid structure; Computational biology; Nucleic acid secondary structure; Protein secondary structure; Web server; Sequence (biology); Multiple sequence alignment; Conserved sequence; Set (abstract data type); Sequence analysis; Sequence alignment; Computer science; Phylogenetic tree; Base pair; Genetics; Bioinformatics; The Internet; Base sequence; Peptide sequence; DNA; Gene; World Wide Web","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":[0.002642358,0.004852473,0.003880882,0.006646825,0.001250077,0.003244154,0.004630021,0.001989814,0.07073095],"category_scores_gemma":[0.004354399,0.002369818,0.001852986,0.007361556,0.0004989745,0.003033369,0.002580171,0.003484113,0.1029826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009847033,"about_ca_system_score_gemma":0.001680472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002393898,"about_ca_topic_score_gemma":0.002299941,"domain_scores_codex":[0.998219,0.0003767328,0.0001973795,0.0004011044,0.0006223245,0.0001834077],"domain_scores_gemma":[0.9980636,0.0006803939,0.0002238243,0.0003378091,0.000343672,0.0003506368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001407813,0.0003031664,0.001394191,0.003705947,0.0004007581,0.0003910654,0.0002901398,0.006179984,0.04529304,0.0084107,0.7978534,0.1343698],"study_design_scores_gemma":[0.001446315,0.0003338663,0.007702974,0.0008585133,0.0002520508,0.001087373,0.0001938641,0.05445177,0.03927939,0.03337521,0.8604779,0.0005406862],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.00465008,0.003945337,0.2148377,0.0004279491,0.0004658762,0.0008512396,0.3365909,0.4162595,0.02197152],"genre_scores_gemma":[0.01402714,0.003418123,0.2282834,0.0003492548,0.0002098082,0.002646465,0.6884869,0.04935233,0.01322652],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.07073095,"threshold_uncertainty_score":0.2366186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04449834599628091,"score_gpt":0.3428479603063136,"score_spread":0.2983496143100327,"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."}}