{"id":"W2099530721","doi":"10.1109/cibcb.2009.4925700","title":"rnaDesign: Local search for RNA secondary structure design","year":2009,"lang":"en","type":"article","venue":"","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Folding (DSP implementation); Nucleic acid secondary structure; Computer science; Heuristic; Set (abstract data type); Protein secondary structure; Stability (learning theory); Algorithm; Fragment (logic); Search algorithm; Local search (optimization); Theoretical computer science; RNA; Artificial intelligence; Machine learning; Engineering","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":[0.001313654,0.000748474,0.001002772,0.0007483545,0.0004058584,0.0005623617,0.0009453731,0.001082856,0.002492063],"category_scores_gemma":[0.002322179,0.0005838839,0.0005856892,0.0006569076,0.0006020596,0.0005470267,0.0008024811,0.0005905657,0.0006943058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006092167,"about_ca_system_score_gemma":0.0009002918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001006353,"about_ca_topic_score_gemma":0.00155846,"domain_scores_codex":[0.9994591,0.0002663138,0.00002429322,0.00008351142,0.0001326487,0.00003412683],"domain_scores_gemma":[0.9992686,0.0004980519,0.00006706353,0.00005485077,0.00007727715,0.00003410009],"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":[0.0002998,0.0001458789,0.0009568873,0.0002943146,0.00009546718,0.0001365849,0.0001475654,0.8059041,0.01487527,0.009499212,0.002555021,0.1650899],"study_design_scores_gemma":[0.0001076847,0.0001406428,0.00008913835,0.00001238647,0.00001587449,0.0000599245,0.00002279376,0.9894421,0.004384195,0.004004027,0.001711312,0.00000985068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03032113,0.0005297351,0.9643027,0.000142439,0.00002622065,0.000113316,0.0000746545,0.001833012,0.002656775],"genre_scores_gemma":[0.2390178,0.0002552344,0.7570562,0.0001793153,0.00002545002,0.0004696949,0.0002545268,0.0002830506,0.002458697],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002492063,"threshold_uncertainty_score":0.008336782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0196532288250552,"score_gpt":0.2603785358137434,"score_spread":0.2407253069886882,"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."}}