{"id":"W2146441371","doi":"10.1142/s0129054114400103","title":"NONDETERMINISTIC STATE COMPLEXITY OF PROPORTIONAL REMOVALS","year":2014,"lang":"en","type":"article","venue":"International Journal of Foundations of Computer Science","topic":"semigroups and automata theory","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Waterloo","funders":"","keywords":"Nondeterministic algorithm; Monomial; Mathematics; Combinatorics; Upper and lower bounds; Time complexity; Polynomial; State (computer science); PSPACE; Matching (statistics); Discrete mathematics; Constant (computer programming); Regular language; NP; Computational complexity theory; Automaton; Computer science; Algorithm; Turing machine; Theoretical computer science","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":[0.001890077,0.00009922141,0.000236534,0.0005723112,0.00008644009,0.0001770751,0.003184793,0.00001864422,0.00002190731],"category_scores_gemma":[0.0002527039,0.00008519683,0.0001219531,0.0004727074,0.0009964786,0.001363633,0.0004009455,0.0001019522,0.000005657768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006224561,"about_ca_system_score_gemma":0.0005135293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008707123,"about_ca_topic_score_gemma":0.000001332876,"domain_scores_codex":[0.9973267,0.00006925968,0.0008862473,0.0001993929,0.001365653,0.000152785],"domain_scores_gemma":[0.9957126,0.0002343974,0.001225899,0.0003540524,0.002381303,0.00009175515],"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":[0.00003266337,0.0004088604,0.001334136,0.00002183128,0.00008441136,0.00001619534,0.0007233202,0.004132234,0.01737706,0.7262604,0.0001992523,0.2494097],"study_design_scores_gemma":[0.0009182829,0.0005948141,0.05570187,0.0002444133,0.00001342228,0.0006636865,0.00001307441,0.5578869,0.02733817,0.3549621,0.001423366,0.000239878],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1788154,0.00000953694,0.8185256,0.0007616784,0.001478434,0.00004427631,0.00000522468,0.00001243361,0.0003474042],"genre_scores_gemma":[0.7412499,0.000003994031,0.2585225,0.00009434921,0.0001134568,4.598683e-7,0.000001071387,0.000002624307,0.00001167837],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5624345,"threshold_uncertainty_score":0.591819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0290263637453758,"score_gpt":0.3105459000499086,"score_spread":0.2815195363045328,"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."}}