{"id":"W1998535485","doi":"10.1080/09511920500064664","title":"On-line scheduling and control of flexible manufacturing cells using automata theory","year":2006,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Supervisor; Scheduling (production processes); Computer science; Automaton; Job shop scheduling; Distributed computing; Supervisory control; Control (management); Mathematical optimization; Embedded system; Routing (electronic design automation); Theoretical computer science; Artificial intelligence; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001011914,0.0003069743,0.0004916514,0.0008731695,0.00007961706,0.0003424085,0.001599882,0.0001089941,0.00001551462],"category_scores_gemma":[0.00002438042,0.0002563908,0.0001898354,0.0001081995,0.0000685738,0.0008002071,0.0002921876,0.0004550766,0.000004143372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002089711,"about_ca_system_score_gemma":0.0001096555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006424776,"about_ca_topic_score_gemma":0.000001192919,"domain_scores_codex":[0.9971181,0.0001672935,0.001184727,0.0003448701,0.0008791622,0.0003058473],"domain_scores_gemma":[0.9974922,0.0005608061,0.001050136,0.0003426614,0.0004501852,0.0001040303],"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":[0.0001882832,0.0001537445,0.00007645437,0.00003347889,0.0003723504,0.0002533305,0.0002160012,0.9340884,0.01017143,0.01195165,0.00004528389,0.04244959],"study_design_scores_gemma":[0.001455683,0.0001535154,0.0002608139,0.0007512125,0.00002364277,0.0005488246,0.00002671504,0.5318545,0.4554388,0.009132435,0.0001351573,0.0002187317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4175428,0.0001388432,0.5801786,0.00006515779,0.001852079,0.00006581224,0.000005989611,0.00004747384,0.0001033046],"genre_scores_gemma":[0.8694369,0.00001240349,0.1298378,0.0001373243,0.0005208455,9.982098e-7,0.000001581147,0.00002123743,0.00003087313],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4518941,"threshold_uncertainty_score":0.9999889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01870312646223819,"score_gpt":0.2640058714389047,"score_spread":0.2453027449766666,"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."}}