{"id":"W1944004743","doi":"10.1109/robot.1999.769941","title":"Control of flexible-manufacturing workcells using extended Moore automata","year":2003,"lang":"en","type":"article","venue":"","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Automaton; Automata theory; Control (management); Computer science; Event (particle physics); Supervisory control; Control engineering; Engineering; Theoretical computer science; 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":[0.0006105308,0.0001701995,0.0002980455,0.0001804561,0.00008321142,0.00009579302,0.000815185,0.00007844113,0.00005847199],"category_scores_gemma":[0.00003985661,0.0001513568,0.00008882878,0.0003132978,0.00003201813,0.0004274859,0.0001228564,0.0001031552,0.00002548594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006683278,"about_ca_system_score_gemma":0.00009244556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003744682,"about_ca_topic_score_gemma":9.452518e-7,"domain_scores_codex":[0.9982468,0.0001214936,0.0004532558,0.0004058774,0.0003909033,0.0003816396],"domain_scores_gemma":[0.9985499,0.000137147,0.0001794755,0.0009634551,0.00007212995,0.00009793493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000361497,0.0004462788,0.001069583,0.0002446797,0.0003103348,0.0001194565,0.001681012,0.2881522,0.03668563,0.6025122,0.0006060061,0.06813648],"study_design_scores_gemma":[0.001031403,0.0000322868,0.0001526922,0.0001054806,0.00001308286,0.0000731877,0.00005923896,0.8341604,0.1607517,0.002658731,0.0006661853,0.0002955578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05386633,0.0002063396,0.9316052,0.00002640549,0.0005267925,0.0001693136,0.000001101158,0.0002762954,0.01332221],"genre_scores_gemma":[0.8294002,0.00000171611,0.1701189,0.00008099272,0.0000232082,0.000003697781,1.535287e-7,0.00001100153,0.0003600387],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7755339,"threshold_uncertainty_score":0.6172151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03213147890648671,"score_gpt":0.2678821706587772,"score_spread":0.2357506917522905,"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."}}