{"id":"W2153113788","doi":"10.1109/wodes.2006.382399","title":"TCT: A Computation Tool for Supervisory Control Synthesis","year":2006,"lang":"en","type":"article","venue":"","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Supervisory control; Computer science; Computation; Control (management); Programming language; Artificial intelligence","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":[0.0007119916,0.001163809,0.0008477503,0.00112233,0.0006332425,0.001531874,0.001675005,0.0008745343,0.01703014],"category_scores_gemma":[0.002892602,0.0007092688,0.001496946,0.00111062,0.0008797499,0.00159551,0.001238909,0.00187953,0.003988878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005393694,"about_ca_system_score_gemma":0.001398673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002213272,"about_ca_topic_score_gemma":0.002066987,"domain_scores_codex":[0.9992623,0.0001324991,0.00006786112,0.0001223902,0.0003385212,0.00007639384],"domain_scores_gemma":[0.9986967,0.0007026912,0.00008724437,0.0002510689,0.0002114666,0.00005076878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005248237,0.0001155099,0.001161898,0.001073381,0.0001534003,0.000611852,0.0004107345,0.2131149,0.02605814,0.2425832,0.05125473,0.4629374],"study_design_scores_gemma":[0.0001620875,0.0001462633,0.0002706869,0.0001876462,0.0001169798,0.0004703477,0.00005126822,0.7346049,0.03441589,0.1192039,0.1102794,0.00009072508],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008752867,0.00004363514,0.9875623,0.00003336159,0.0000469392,0.00002837687,0.0001739088,0.009308376,0.001927817],"genre_scores_gemma":[0.1178853,0.000512757,0.8655351,0.0002072081,0.0001401278,0.0006070904,0.001923378,0.008044835,0.005144147],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01703014,"threshold_uncertainty_score":0.05697155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02707418376481781,"score_gpt":0.2383186887042866,"score_spread":0.2112445049394688,"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."}}