{"id":"W2294449021","doi":"10.1007/978-3-662-49192-8_20","title":"Pseudoknot-Generating Operation","year":2016,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Pseudoknot; Undecidable problem; Computer science; String (physics); Automaton; Context (archaeology); Theoretical computer science; Algorithm; Closure (psychology); Recursively enumerable language; Time complexity; Decidability; Mathematics; Base sequence; DNA","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":[0.0006518715,0.0007036847,0.0004476128,0.0007669236,0.0007598914,0.0009841523,0.0009921101,0.0007642483,0.0118013],"category_scores_gemma":[0.001567371,0.0002643288,0.0006519013,0.0007119115,0.001271529,0.001983977,0.001661651,0.001287856,0.004791855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003556283,"about_ca_system_score_gemma":0.0003853903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001164316,"about_ca_topic_score_gemma":0.0001242738,"domain_scores_codex":[0.9992073,0.0001471505,0.00005821635,0.0002034345,0.0002881991,0.00009557798],"domain_scores_gemma":[0.9992672,0.0002673195,0.00004454475,0.0002222116,0.000149637,0.00004912524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001977169,0.00003940833,0.0001749648,0.0002182842,0.0000124489,0.0003133293,0.0002110319,0.003004846,0.02527749,0.7930553,0.01114324,0.166352],"study_design_scores_gemma":[0.00006798967,0.000200395,0.0004508305,0.00006988048,0.00005150988,0.002468467,0.00006788536,0.03277417,0.1118397,0.7129527,0.1389409,0.0001156329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02809529,0.0003541945,0.8783011,0.0003172471,0.001056222,0.0001617699,0.0004337197,0.002725202,0.08855535],"genre_scores_gemma":[0.5538532,0.0008202075,0.3589005,0.0005944136,0.0005441714,0.0003363203,0.001231589,0.00209448,0.08162516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0118013,"threshold_uncertainty_score":0.03947932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01279977883827642,"score_gpt":0.235933880385157,"score_spread":0.2231341015468806,"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."}}