{"id":"W1593956044","doi":"10.1109/mwscas.1993.343219","title":"Timed Petri net models of flexible manufacturing cells","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":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Petri net; Computer science; Invariant (physics); Class (philosophy); Stochastic Petri net; Petri dish; Simple (philosophy); Theoretical computer science; Artificial intelligence; Programming language; Distributed computing; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002327374,0.0001344755,0.0002115433,0.0001940454,0.0000516153,0.00007222573,0.001042257,0.00006180524,0.0002899328],"category_scores_gemma":[0.000004548101,0.0001209313,0.00007298392,0.0002867446,0.0000205133,0.0006139505,0.0002971663,0.00009182459,0.0002527387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003803417,"about_ca_system_score_gemma":0.00001156819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004786409,"about_ca_topic_score_gemma":9.489584e-7,"domain_scores_codex":[0.9985464,0.00003757775,0.0003515155,0.0003546646,0.0003888484,0.0003210134],"domain_scores_gemma":[0.9988588,0.00008500869,0.000106994,0.0008079759,0.00004849636,0.00009274318],"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":[0.000008944271,0.0003496215,0.00004402551,0.000171011,0.0001130419,0.00006263095,0.004747085,0.7455252,0.01183491,0.09162828,0.03450281,0.1110124],"study_design_scores_gemma":[0.0001701515,0.00002220784,0.000005996069,0.00001905579,0.000002342272,0.000009588503,0.00001492168,0.8461577,0.1514112,0.001418302,0.0006365179,0.0001320007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01307773,0.0002849265,0.8706391,0.00008275367,0.0004118907,0.0001071302,0.000001191828,0.0002498888,0.1151453],"genre_scores_gemma":[0.8930405,0.00001826732,0.09457157,0.00008912879,0.00004142263,0.000005034566,2.510678e-7,0.000009885606,0.01222389],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8799628,"threshold_uncertainty_score":0.4931436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04821974967761437,"score_gpt":0.2298894033763157,"score_spread":0.1816696536987013,"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."}}