{"id":"W2114383698","doi":"10.1007/978-4-431-88981-6_9","title":"Towards the Sequence Design Preventing Pseudoknot Formation","year":2008,"lang":"en","type":"book-chapter","venue":"Proceedings in information and communications technology","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Pseudoknot; Complementarity (molecular biology); Word (group theory); Computer science; DNA; Mathematics; Computational biology; Algorithm; Theoretical computer science; Biology; Base sequence; Genetics; Geometry","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":[0.001197924,0.0009968037,0.001187024,0.0006177091,0.000594981,0.00115284,0.001437551,0.001645159,0.002525656],"category_scores_gemma":[0.002833023,0.0008801848,0.0005742537,0.0005672608,0.001116675,0.001652843,0.001010209,0.002008457,0.002226553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004570477,"about_ca_system_score_gemma":0.001073501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000231416,"about_ca_topic_score_gemma":0.0004043346,"domain_scores_codex":[0.9989005,0.0002196983,0.00009944729,0.0002550628,0.0004073976,0.0001179175],"domain_scores_gemma":[0.9983292,0.0005918292,0.0002909339,0.0003002209,0.0003987429,0.00008908533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006583889,0.0004012491,0.0004731559,0.001386372,0.00004473058,0.0003852314,0.0002857444,0.0358283,0.7537616,0.05728645,0.002805653,0.1466831],"study_design_scores_gemma":[0.00009657236,0.001020295,0.0001077766,0.00009126177,0.00005132648,0.0005054917,0.00007632627,0.0488279,0.9017844,0.01961709,0.02777733,0.00004433853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1862615,0.007567867,0.7821475,0.001010235,0.001073786,0.0004866195,0.000242769,0.002940848,0.01826889],"genre_scores_gemma":[0.4764692,0.006151423,0.497911,0.0009329114,0.0001822816,0.0004734185,0.0005962391,0.0006063757,0.0166772],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002525656,"threshold_uncertainty_score":0.008449137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05824764797806454,"score_gpt":0.2698205557614088,"score_spread":0.2115729077833443,"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."}}