{"id":"W1945034450","doi":"10.1109/cec.2004.1330912","title":"Using stacking-energies (INN and INN-HB) for improving the accuracy of RNA secondary structure prediction with an evolutionary algorithm - a comparison to known structures","year":2004,"lang":"en","type":"article","venue":"","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Stacking; RNA; Base pair; Nucleic acid secondary structure; Hydrogen bond; Algorithm; Molecule; Base (topology); Biological system; Computer science; Crystallography; Computational biology; Physics; Chemistry; Mathematics; Biology; DNA; Genetics; Quantum mechanics","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":[0.00150504,0.0005859154,0.0005502574,0.0006621542,0.0003574609,0.0004276017,0.0006022531,0.0003232007,0.0008142375],"category_scores_gemma":[0.004187528,0.0001865651,0.0003463305,0.0004385214,0.0002534515,0.001053605,0.0004454775,0.0004755988,0.0001969913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003093713,"about_ca_system_score_gemma":0.0003506807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001299127,"about_ca_topic_score_gemma":0.002901394,"domain_scores_codex":[0.9994717,0.000217992,0.00003489748,0.00006134004,0.0001811254,0.00003290361],"domain_scores_gemma":[0.9981406,0.00111511,0.0001082513,0.000298449,0.0002871456,0.00005043859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002560928,0.0002256588,0.01680786,0.0001182279,0.0001709559,0.00009925898,0.00008934625,0.4952612,0.02219916,0.005227729,0.0007994642,0.458745],"study_design_scores_gemma":[0.00001098371,0.0001262943,0.001723747,0.000008260979,0.00003273044,0.00006422957,0.0000206522,0.9807189,0.01418878,0.00230522,0.0007848672,0.00001546941],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4211982,0.0006454939,0.5724992,0.0001703535,0.00007185474,0.0000342229,0.00008889892,0.001815711,0.003476009],"genre_scores_gemma":[0.6620905,0.0002363602,0.3361814,0.00005138928,0.00003093216,0.00002432507,0.0002555405,0.0001844949,0.0009451376],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00150504,"threshold_uncertainty_score":0.007959545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01542357685923188,"score_gpt":0.267415194976534,"score_spread":0.2519916181173021,"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."}}