{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006692442,0.0001084834,0.0002376303,0.0005089018,0.00004004952,0.000107135,0.0006639608,0.00005476961,0.0001004493],"category_scores_gemma":[0.00009211522,0.00009587179,0.00009396057,0.004018023,0.00001248947,0.0003528597,0.000100382,0.00009118624,0.0001505606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007591945,"about_ca_system_score_gemma":0.00005620932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009686356,"about_ca_topic_score_gemma":0.0001223287,"domain_scores_codex":[0.9985433,0.0001361114,0.0003024183,0.0004201077,0.0002992468,0.0002988807],"domain_scores_gemma":[0.9989781,0.0001093905,0.00005582577,0.0007472674,0.00004445437,0.00006490533],"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":[0.000006464528,0.0003891911,0.1246996,0.00002793063,0.0006407055,0.0002533097,0.003400743,0.1838139,0.0007260559,0.6538922,0.006689721,0.02546016],"study_design_scores_gemma":[0.0004194357,0.00002011635,0.003471187,0.000009491989,0.00002552745,0.00001499011,0.00004801805,0.9846027,0.001064034,0.002664855,0.007363792,0.0002958823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01733136,0.0001796181,0.8858376,0.000175059,0.0001910623,0.00007094133,2.124951e-7,0.0001232236,0.09609096],"genre_scores_gemma":[0.8878499,0.00000657637,0.1104045,0.0002726119,0.00001003707,0.000005590516,5.298841e-7,0.000004271657,0.001446049],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8705185,"threshold_uncertainty_score":0.3909538,"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."}}