{"id":"W40576911","doi":"10.25596/jalc-2004-333","title":"Context Derivation Sets and Context-Free Normal Forms","year":2004,"lang":"en","type":"article","venue":"Justus-Liebig-Universität Gießen","topic":"semigroups and automata theory","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Terminal and nonterminal symbols; Symbol (formal); Context-free grammar; Context-sensitive grammar; Computer science; Tree-adjoining grammar; Context (archaeology); Grammar; Mildly context-sensitive grammar formalism; Indexed grammar; Extended Affix Grammar; Mathematics; Combinatory categorial grammar; Rule-based machine translation; Algorithm; Natural language processing; Artificial intelligence; Generative grammar; Programming language; Linguistics; Phrase structure rules","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":[0.001657816,0.0007691684,0.0004970794,0.001566438,0.001145239,0.002840434,0.001177551,0.0009794057,0.006948449],"category_scores_gemma":[0.005397999,0.0005185471,0.00103094,0.001204001,0.003967002,0.005261274,0.002405033,0.002747009,0.002173076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001178098,"about_ca_system_score_gemma":0.000937207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007082715,"about_ca_topic_score_gemma":0.0007353244,"domain_scores_codex":[0.997256,0.0007100048,0.0002636485,0.0006097361,0.0009857197,0.0001748185],"domain_scores_gemma":[0.9970668,0.001537694,0.0001539696,0.0005904808,0.000514737,0.0001362939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002179495,0.00001584473,0.0001241211,0.00004585053,0.000007625448,0.0001338742,0.0003550731,0.002773905,0.001685248,0.9562154,0.0009261466,0.0376952],"study_design_scores_gemma":[0.000009690169,0.00001361649,0.00005355528,0.00002150547,0.000006006604,0.0001403059,0.00005036583,0.007516434,0.002217743,0.9775422,0.01241586,0.00001277367],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03032699,0.0008673227,0.9279304,0.0006425014,0.0001734875,0.0001510999,0.0002669462,0.001820685,0.03782063],"genre_scores_gemma":[0.4403833,0.001054928,0.5352294,0.0004449035,0.000226686,0.0003930748,0.001019882,0.0006727183,0.0205752],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006948449,"threshold_uncertainty_score":0.02324486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009273650047310978,"score_gpt":0.1958674978940053,"score_spread":0.1865938478466943,"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."}}