{"id":"W1926792926","doi":"10.1109/mwscas.1992.271058","title":"Throughput analysis in timed Petri nets","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":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reachability; Petri net; Computer science; Throughput; Stochastic Petri net; Simple (philosophy); Variety (cybernetics); State space; State (computer science); Class (philosophy); Theoretical computer science; Algorithm; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002213504,0.001278179,0.0009158009,0.002829646,0.0007614278,0.002357106,0.001020444,0.0005504025,0.003452808],"category_scores_gemma":[0.006817282,0.0006047192,0.001536132,0.002074254,0.001398743,0.003060097,0.0009747944,0.001115637,0.0007568118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002633407,"about_ca_system_score_gemma":0.001447552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00353148,"about_ca_topic_score_gemma":0.001433364,"domain_scores_codex":[0.9977895,0.0005592633,0.0001863675,0.0003410329,0.0008758254,0.0002480225],"domain_scores_gemma":[0.9954793,0.00322159,0.000472065,0.0002143889,0.0005165263,0.00009595677],"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":[0.00008664674,0.000038802,0.0007367791,0.000221982,0.00007069016,0.000249097,0.0002039928,0.4394462,0.004909879,0.5250883,0.00126235,0.02768526],"study_design_scores_gemma":[0.000008842771,0.00001982808,0.0002003104,0.00003447982,0.0000419292,0.0000645178,0.00002955319,0.7151189,0.00303792,0.2781578,0.003263472,0.00002227446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005651427,0.0004759266,0.9880752,0.00007398787,0.00003786477,0.0000440959,0.0001377446,0.0005323297,0.004971548],"genre_scores_gemma":[0.7014971,0.003078895,0.2843317,0.0001664,0.0003509141,0.0005231787,0.0006709354,0.0006642466,0.008716715],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00353148,"threshold_uncertainty_score":0.01910681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02464745006663151,"score_gpt":0.2663106045851781,"score_spread":0.2416631545185466,"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."}}