{"id":"W2395723593","doi":"","title":"Deciding if a Regular Language is Generated by a Splicing System","year":2011,"lang":"en","type":"article","venue":"","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Syntactic monoid; RNA splicing; Regular language; Computer science; Class (philosophy); Function (biology); Word (group theory); Subclass; Mathematics; Genetics; Combinatorics; Monoid; Theoretical computer science; Artificial intelligence; Biology; Gene; Free monoid","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001396652,0.000117627,0.0001107425,0.00001529413,0.00007264187,0.0000165972,0.0001483669,0.000129623,0.00004971373],"category_scores_gemma":[0.00001468305,0.00008548454,0.00006200863,0.00006957629,0.00002182501,0.000001396854,0.0001102904,0.00004680117,0.00002238282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009264651,"about_ca_system_score_gemma":0.000009602014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009833345,"about_ca_topic_score_gemma":0.000003347374,"domain_scores_codex":[0.9992365,0.00003995814,0.0001493325,0.0002954192,0.00005754696,0.0002212289],"domain_scores_gemma":[0.9996464,0.000004107014,0.00004578119,0.0002051623,0.00003389016,0.00006462803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001537629,0.00001592004,0.0007934097,0.00000940262,0.0000233362,0.000006384726,0.00009519367,6.172492e-7,0.9942043,0.0001396719,0.003034635,0.00166175],"study_design_scores_gemma":[0.0001762231,0.0001275743,0.0001932313,0.00001528912,0.000008775264,0.00002083082,0.0005114588,0.000441774,0.9950795,0.000005645043,0.003261656,0.000158055],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806713,0.0005029847,0.007153654,0.00001477839,0.00006057386,0.00008007157,0.000005223338,0.00005527673,0.0114561],"genre_scores_gemma":[0.9946293,0.000009621809,0.003226625,0.0004886414,0.000120752,0.000004275638,0.00004093963,0.00001135238,0.001468461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01395799,"threshold_uncertainty_score":0.3485959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491464760415686,"score_gpt":0.2201245920063056,"score_spread":0.2052099444021487,"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."}}