{"id":"W2887820271","doi":"10.1007/978-3-319-77452-7_5","title":"Hierarchical Supervision of Discrete-Event Systems","year":2018,"lang":"en","type":"book-chapter","venue":"Communications and control engineering/Communications and control engineering series","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Hierarchy; Scope (computer science); Computer science; Consistency (knowledge bases); Event (particle physics); Layer (electronics); Distributed computing; Theoretical computer science; Control (management); Programming language; Artificial intelligence; Political science; Physics","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":[0.0004406275,0.0003249314,0.0002641973,0.0002416552,0.0001735064,0.0007754254,0.0005462637,0.0002677584,0.002625507],"category_scores_gemma":[0.001131947,0.0002087216,0.0002543176,0.0002720444,0.0006891238,0.000794348,0.0005489578,0.001008049,0.0004488407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005775732,"about_ca_system_score_gemma":0.0006345837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001723356,"about_ca_topic_score_gemma":0.001427306,"domain_scores_codex":[0.9996538,0.00007014131,0.00002045361,0.00006591044,0.0001635658,0.00002601994],"domain_scores_gemma":[0.9995833,0.0002130407,0.00002843215,0.00007493617,0.00006806431,0.0000321813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007543926,0.00004959454,0.0006057589,0.0004936053,0.00003892279,0.000171346,0.0005153248,0.1125754,0.01126394,0.6443998,0.009782944,0.2200278],"study_design_scores_gemma":[0.00004122973,0.00008781024,0.000925282,0.0001245524,0.00002862474,0.0001274808,0.00006525865,0.5406368,0.006310405,0.3555813,0.09604847,0.00002268415],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01679181,0.005357269,0.9167433,0.0007386311,0.0003520827,0.00007680427,0.0001878498,0.001537131,0.05821514],"genre_scores_gemma":[0.7855356,0.006239722,0.183463,0.0001737832,0.0004574929,0.000123348,0.0004156679,0.000121924,0.02346937],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002625507,"threshold_uncertainty_score":0.008783162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01313847339757432,"score_gpt":0.2206162974765828,"score_spread":0.2074778240790084,"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."}}