{"id":"W1512540778","doi":"","title":"Timed State Tree Structures: Supervisory Control and Fault Diagnosis","year":2010,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Supervisory control; State (computer science); Fault tree analysis; Computer science; Process (computing); State space; Fault (geology); Tree (set theory); Event (particle physics); Finite-state machine; Distributed computing; Event tree; Automaton; Real-time computing; Control engineering; Control (management); Algorithm; Theoretical computer science; Engineering; Mathematics; Reliability engineering; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005760358,0.0003921683,0.0003812267,0.0004800583,0.0003444908,0.001008698,0.0008794537,0.0005990344,0.002623859],"category_scores_gemma":[0.002502349,0.0002430434,0.0005051117,0.0008702658,0.0009265839,0.00152481,0.0006120178,0.0009589865,0.0003115221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00102344,"about_ca_system_score_gemma":0.001059535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002108456,"about_ca_topic_score_gemma":0.001901654,"domain_scores_codex":[0.9994884,0.0001221346,0.00003720048,0.0001213231,0.0001826969,0.00004833328],"domain_scores_gemma":[0.9986872,0.0008230161,0.0001613602,0.000128841,0.000158517,0.00004113883],"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":[0.0001809797,0.00006622843,0.0006614653,0.0002679945,0.00004008974,0.0001822877,0.0001813447,0.4405644,0.01020254,0.3859933,0.002505088,0.1591543],"study_design_scores_gemma":[0.00002883257,0.00005300466,0.0002054171,0.0000317397,0.00001766294,0.00007641629,0.0000287048,0.7822295,0.004437324,0.2065617,0.00631655,0.0000129816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009654798,0.0005715212,0.9868652,0.0002295318,0.00004574766,0.0000321544,0.00007234603,0.0002830341,0.002245692],"genre_scores_gemma":[0.5274764,0.001755754,0.4637174,0.0002005934,0.0001696516,0.0002299238,0.0005286738,0.0001024626,0.005819116],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002623859,"threshold_uncertainty_score":0.008777678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01385443380036309,"score_gpt":0.2308604591102354,"score_spread":0.2170060253098723,"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."}}