{"id":"W2076758153","doi":"10.1016/j.matcom.2005.11.009","title":"Grid automata and supervisory control of dense real-time discrete event systems","year":2005,"lang":"en","type":"article","venue":"Mathematics and Computers in Simulation","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Supervisory control; Automaton; Computer science; Controllability; Generalization; Timed automaton; Context (archaeology); Supervisory control theory; Event (particle physics); Grid; State space; Transition system; State (computer science); Theoretical computer science; Granularity; Discrete event dynamic system; Automata theory; Distributed computing; Mathematics; Control (management); Algorithm; Discrete system; Applied mathematics; Programming language; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006449887,0.0001331103,0.0003302842,0.000152169,0.0000458818,0.0001081053,0.0002379999,0.00005922932,6.644171e-7],"category_scores_gemma":[0.00002228368,0.0001219251,0.00003007001,0.0001463457,0.00002909484,0.0002782868,0.0001528631,0.000053483,0.000002561584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000392239,"about_ca_system_score_gemma":0.00001449759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001600244,"about_ca_topic_score_gemma":0.000001424014,"domain_scores_codex":[0.9987158,0.00006820023,0.0005672264,0.0002450892,0.0002467803,0.0001569179],"domain_scores_gemma":[0.9988829,0.0004539713,0.0001952745,0.0003596822,0.00005497502,0.00005314343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006397852,0.0000689341,0.0003988229,0.0003017005,0.00002096998,0.000003471524,0.002963005,0.9720253,0.0004282528,0.01218262,0.00001693815,0.01158358],"study_design_scores_gemma":[0.0006975916,0.00003675332,0.0005088524,0.0003454924,0.000007464492,0.00001491809,0.00003542618,0.9971032,0.0000140586,0.001083843,0.00002939642,0.0001229642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2837156,0.0002496446,0.7154958,0.00005783329,0.0001125223,0.0002193217,0.00000283066,0.00005045184,0.00009598039],"genre_scores_gemma":[0.9076907,0.00003599895,0.0921759,0.00001670714,0.00005473389,0.000006072697,0.000001272912,0.000008440811,0.0000101879],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.623975,"threshold_uncertainty_score":0.4971961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01972517259454367,"score_gpt":0.2533816509360215,"score_spread":0.2336564783414778,"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."}}