{"id":"W1804074617","doi":"10.1109/cira.1999.809985","title":"Moore automata for flexible routing and flow control in manufacturing workcells","year":2003,"lang":"en","type":"article","venue":"","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Automaton; Flexibility (engineering); Computer science; Routing (electronic design automation); Flow (mathematics); Control (management); Automata theory; Control flow; Distributed computing; Event (particle physics); Control engineering; Theoretical computer science; Engineering; Embedded system; Programming language; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000313449,0.0003914523,0.0003291596,0.0003634485,0.0003257612,0.0007365283,0.000635412,0.0006878213,0.001962421],"category_scores_gemma":[0.001007426,0.0002515758,0.0006896448,0.0003131969,0.001049927,0.0009026385,0.0004888817,0.0007296865,0.0002761964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006905161,"about_ca_system_score_gemma":0.0005642403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001617528,"about_ca_topic_score_gemma":0.002305191,"domain_scores_codex":[0.9996821,0.00008513254,0.00002763548,0.00006062799,0.0001169182,0.00002761773],"domain_scores_gemma":[0.9996178,0.0001961897,0.00005912764,0.00006197799,0.00004631617,0.00001854518],"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":[0.00007310313,0.00003018804,0.0002633102,0.00008232753,0.0000178913,0.0002115051,0.0002476565,0.3763396,0.01426809,0.5762377,0.0006574893,0.03157106],"study_design_scores_gemma":[0.00003102004,0.00005693424,0.000137397,0.00002460941,0.00001552632,0.00006478364,0.00003091337,0.7853503,0.006272157,0.1997933,0.008201753,0.00002130429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02322479,0.0005932723,0.968244,0.0001646938,0.00008181689,0.00004836731,0.00007632066,0.0004800412,0.007086769],"genre_scores_gemma":[0.7428951,0.000894624,0.2492232,0.0001096754,0.00006436202,0.0003398974,0.0001652125,0.00006366248,0.00624432],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001962421,"threshold_uncertainty_score":0.006564975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02010488110676129,"score_gpt":0.2462656290551916,"score_spread":0.2261607479484303,"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."}}