{"id":"W1584162955","doi":"","title":"Decentralized supervisory control of discrete-event systems based on State Tree Structures","year":2012,"lang":"en","type":"article","venue":"Chinese Control Conference","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Supervisory control; Supervisor; Event (particle physics); State (computer science); Decentralised system; Computer science; Tree (set theory); Distributed computing; Control (management); Blocking (statistics); Control theory (sociology); Discrete event dynamic system; Discrete system; Mathematics; Algorithm; Computer network","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":[0.001021825,0.0004947738,0.0009778177,0.0002577223,0.0001231597,0.0002056311,0.001616757,0.0001303345,0.00003104232],"category_scores_gemma":[0.0003560896,0.0003579192,0.0002337707,0.0003938981,0.0001034577,0.000623662,0.0001043837,0.0002692843,0.00002128458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001021137,"about_ca_system_score_gemma":0.0002372669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001064665,"about_ca_topic_score_gemma":0.00001759269,"domain_scores_codex":[0.9961648,0.0006439909,0.0009016581,0.0005631271,0.0008732329,0.0008531787],"domain_scores_gemma":[0.9966617,0.0007601252,0.000456244,0.001363633,0.000373849,0.0003843967],"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":[0.00214226,0.001102362,0.2368191,0.001119084,0.0008114625,0.00007081863,0.005848444,0.4760631,0.04324285,0.1941657,0.0004004138,0.03821444],"study_design_scores_gemma":[0.005587787,0.0001373907,0.02158856,0.0001603411,0.00003162037,0.000009817594,0.00002500044,0.9706129,0.0002627984,0.000936923,0.0002329627,0.0004138529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1260896,0.001738162,0.8687762,0.0002712582,0.001428743,0.0007660743,0.00009281468,0.0001716642,0.0006655129],"genre_scores_gemma":[0.9982947,0.00001709017,0.001047339,0.0003242304,0.0001410936,0.0000900304,0.000008078852,0.00002910885,0.00004832099],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8722051,"threshold_uncertainty_score":0.9998873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02534153436503755,"score_gpt":0.2632757389376792,"score_spread":0.2379342045726417,"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."}}