{"id":"W4285012347","doi":"10.22215/etd/2022-15065","title":"Supervisory Control Using DEVS with Approximate Method &amp; Hybrid Layer","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Supervisory control; DEVS; Supervisory control theory; Formalism (music); Computer science; State space; Control engineering; Controller (irrigation); Control (management); Modeling and simulation; Distributed computing; Artificial intelligence; Engineering; Simulation; Mathematics","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":[0.001199603,0.0004915562,0.0007074018,0.0004402068,0.0003568133,0.0003655445,0.001795396,0.0001385074,0.0002900624],"category_scores_gemma":[0.00003951268,0.0004229412,0.0001606729,0.0005960257,0.00001300509,0.0005182885,0.000191356,0.0005579111,0.00003175187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002443052,"about_ca_system_score_gemma":0.0005017268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003732859,"about_ca_topic_score_gemma":0.0001943714,"domain_scores_codex":[0.9963188,0.0004086604,0.0006033335,0.001080739,0.001031586,0.0005568502],"domain_scores_gemma":[0.9977083,0.0002363162,0.0003742103,0.0013013,0.0002515471,0.0001282796],"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":[0.001452335,0.001042768,0.001158157,0.00503028,0.003552125,0.001181534,0.02765025,0.6364766,0.04526404,0.1024281,0.007549582,0.1672142],"study_design_scores_gemma":[0.00101109,0.00005863094,0.00002281342,0.0001661633,0.0001136528,0.0003016874,0.0005477273,0.9862801,0.001622767,0.0005858421,0.008269167,0.00102031],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01540997,0.0006202668,0.9698535,0.00003083586,0.00118786,0.0005509467,0.00001886464,0.0004227457,0.01190507],"genre_scores_gemma":[0.08794833,0.00001255142,0.8986509,0.0004301338,0.0001492221,0.0001879411,0.00026531,0.0001209901,0.01223463],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3498036,"threshold_uncertainty_score":0.9998223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06370905253868173,"score_gpt":0.3184327458767425,"score_spread":0.2547236933380608,"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."}}