{"id":"W2737619095","doi":"10.1007/978-3-642-32208-2_8","title":"Deciding Whether a Regular Language Is Generated by a Splicing System","year":2012,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Programming language; Theoretical computer science; Natural language processing","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000526861,0.0003521139,0.0003120922,0.0001076409,0.0001521988,0.0001033241,0.0006499298,0.0004539815,0.00001400747],"category_scores_gemma":[0.00003583842,0.0002769334,0.0001073893,0.000132034,0.0002222859,0.000005230148,0.0005383248,0.0002989025,0.00001432943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008174582,"about_ca_system_score_gemma":0.00007313223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002100401,"about_ca_topic_score_gemma":0.00001136359,"domain_scores_codex":[0.9980419,0.00003551116,0.0002853238,0.0008589292,0.0002710688,0.0005073169],"domain_scores_gemma":[0.9990732,0.00003948023,0.0001616984,0.0005236621,0.00008633574,0.0001156422],"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":[0.00001170443,0.0000130222,0.0001232152,0.00004407339,0.00002267006,0.00001618223,0.0001869938,0.0005261917,0.8082744,0.0001520493,0.0001122939,0.1905171],"study_design_scores_gemma":[0.0005126804,0.0004022151,0.000050152,0.0008045237,0.00004069585,0.000190146,0.000003924538,0.0301829,0.9476555,0.0006594756,0.01801246,0.001485321],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08262967,0.007803441,0.9066262,0.00009547886,0.0006162218,0.0002846332,0.00001783459,0.00006259637,0.00186398],"genre_scores_gemma":[0.974076,0.00004488609,0.02270348,0.001281209,0.001134948,0.000003777706,0.00005040203,0.00003888459,0.0006664383],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8914463,"threshold_uncertainty_score":0.9999683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01136567023561239,"score_gpt":0.2351745338984587,"score_spread":0.2238088636628463,"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."}}