{"id":"W2128347468","doi":"10.1109/cec.2011.5949764","title":"RNADPCompare: An algorithm for comparing RNA secondary structures based on image processing techniques","year":2011,"lang":"en","type":"article","venue":"","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Simon Fraser University; University of Calgary","keywords":"Algorithm; RNA; Nucleic acid secondary structure; Protein secondary structure; Similarity (geometry); Computer science; Metric (unit); Measure (data warehouse); Heuristic; Similarity measure; Image (mathematics); Artificial intelligence; Data mining; Biology; Engineering","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":[0.002380853,0.002122961,0.00217009,0.004664403,0.001345385,0.002515589,0.003997389,0.002500018,0.007540294],"category_scores_gemma":[0.004251679,0.001377993,0.002240368,0.003358115,0.001253623,0.003149245,0.00286857,0.002753366,0.003650608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001225552,"about_ca_system_score_gemma":0.001606494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002302133,"about_ca_topic_score_gemma":0.002636879,"domain_scores_codex":[0.9985496,0.0002281876,0.0001281082,0.0003232524,0.000663425,0.0001074562],"domain_scores_gemma":[0.9986812,0.0006248451,0.0001646817,0.0001487137,0.0003051601,0.00007543316],"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":[0.0005755827,0.000276082,0.001688696,0.0008103471,0.0004406232,0.0003898709,0.0003784611,0.05254707,0.04664905,0.0178623,0.0328175,0.8455644],"study_design_scores_gemma":[0.0002484983,0.0003247802,0.001262965,0.00007669497,0.0001049717,0.0008924393,0.0001684104,0.8699884,0.05513964,0.02861752,0.04301675,0.0001588301],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002635442,0.0002526483,0.9850973,0.00007989048,0.00007506877,0.0001731383,0.0002476543,0.01081512,0.0006237987],"genre_scores_gemma":[0.01103101,0.000145711,0.9863599,0.00007344291,0.0000198058,0.0003364567,0.0005948215,0.0009049641,0.0005337929],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007540294,"threshold_uncertainty_score":0.02522475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0259267442771696,"score_gpt":0.2687743537601656,"score_spread":0.242847609482996,"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."}}