{"id":"W2066349684","doi":"10.1142/s0219720005001296","title":"MULTIPLE RNA STRUCTURE ALIGNMENT","year":2005,"lang":"en","type":"article","venue":"Journal of Bioinformatics and Computational Biology","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University Health Network","funders":"","keywords":"RNA; String (physics); Algorithm; Structural alignment; Nucleic acid structure; Computer science; Sequence (biology); Multiple sequence alignment; Mathematics; Sequence alignment; Gene; Genetics; Biology; Peptide sequence","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":[0.001601823,0.001734207,0.002400328,0.002907041,0.001621295,0.002276453,0.003042767,0.002212634,0.03086752],"category_scores_gemma":[0.006983605,0.0009215746,0.001609255,0.003435282,0.0005885067,0.003301085,0.00296836,0.002124389,0.01545918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008016499,"about_ca_system_score_gemma":0.00110681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004084037,"about_ca_topic_score_gemma":0.0008591835,"domain_scores_codex":[0.9962463,0.0006445128,0.0002834027,0.001545067,0.0009976337,0.0002831903],"domain_scores_gemma":[0.9966102,0.0007203306,0.0004114803,0.001152747,0.0009582144,0.0001470545],"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":[0.0006305644,0.0002745179,0.002516707,0.001000847,0.0003019955,0.000887714,0.0003715359,0.03885897,0.1043007,0.07854202,0.03788412,0.7344303],"study_design_scores_gemma":[0.0001241897,0.000334134,0.001933179,0.0001289626,0.0001281532,0.002284958,0.000392567,0.5565104,0.1480182,0.1140164,0.1760164,0.0001125228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009139219,0.000756782,0.9741795,0.0002121287,0.0002951273,0.0001638441,0.0009589965,0.00627864,0.008015815],"genre_scores_gemma":[0.08427759,0.0005625116,0.8974971,0.0001866011,0.0001289785,0.0002202478,0.005732912,0.00161214,0.009781968],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03086752,"threshold_uncertainty_score":0.1032621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007012230245182748,"score_gpt":0.2316625414116808,"score_spread":0.2246503111664981,"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."}}