{"id":"W1889713432","doi":"10.1109/robot.1995.525478","title":"Implementing a discrete-event-system-based supervisory controller for a flexible manufacturing workcell","year":2002,"lang":"en","type":"article","venue":"","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Workcell; Supervisory control; Programmable logic controller; Controller (irrigation); Computer science; Process (computing); Embedded system; Supervisory control theory; Event (particle physics); Control engineering; Process control; Host (biology); Control (management); Engineering; Robot; Operating system; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001046794,0.0002798705,0.0003904433,0.0002257459,0.0004228081,0.0004068565,0.001092383,0.00008560762,0.0001017396],"category_scores_gemma":[0.0000259171,0.0002425555,0.0002566398,0.0002453778,0.00001775052,0.0004789451,0.0002980986,0.0001178645,0.0001022084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001533864,"about_ca_system_score_gemma":0.00002766215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004064411,"about_ca_topic_score_gemma":0.00001745195,"domain_scores_codex":[0.9971271,0.00009567312,0.0006658384,0.0006881682,0.0004190927,0.001004175],"domain_scores_gemma":[0.9985374,0.0003202815,0.0001779456,0.0007304433,0.00008198072,0.0001519107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003121328,0.001064794,0.003528678,0.004316685,0.0009894985,0.0001670247,0.006786109,0.1860996,0.01634544,0.2256595,0.04746428,0.5072663],"study_design_scores_gemma":[0.002012735,0.000054564,0.000013553,0.000115553,0.00001269538,0.000009330762,0.0001907767,0.9698413,0.01151848,0.0001391175,0.01576938,0.000322495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005224706,0.0003362224,0.9818335,0.0004435243,0.0003971493,0.0008128242,0.000007712327,0.0008421676,0.01010224],"genre_scores_gemma":[0.9064534,0.00000176615,0.08945147,0.000344521,0.0001622299,0.0002328608,0.000002804344,0.00002945787,0.003321527],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9012287,"threshold_uncertainty_score":0.9891126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05328209016527714,"score_gpt":0.2648050762029963,"score_spread":0.2115229860377192,"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."}}