{"id":"W4392239214","doi":"10.46298/lmcs-20(1:15)2024","title":"Separators in Continuous Petri Nets","year":2024,"lang":"en","type":"article","venue":"Logical Methods in Computer Science","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Petri net; Computer science; Programming language; Process architecture; Stochastic Petri net","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.009455647,0.0002650738,0.0004617703,0.001149087,0.000107618,0.001061186,0.003561493,0.0001339522,0.000008715461],"category_scores_gemma":[0.0004040105,0.0002151556,0.00008999567,0.008026646,0.0003628141,0.001236374,0.001643767,0.0005803648,0.00005823553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000308204,"about_ca_system_score_gemma":0.0002850872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002479302,"about_ca_topic_score_gemma":0.000005153155,"domain_scores_codex":[0.9952558,0.0007507757,0.0007278593,0.001614768,0.0007542131,0.0008966433],"domain_scores_gemma":[0.9971772,0.001544513,0.00006990217,0.0009128679,0.00008268414,0.0002127747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002997358,0.00007623055,0.001700027,0.00002995507,0.000003052923,0.0006389251,0.001050677,0.01594427,0.001605968,0.08628994,0.0001036459,0.8925543],"study_design_scores_gemma":[0.0001525511,0.00009432072,0.002858067,0.0001811294,8.875279e-7,0.0001158287,0.000005920519,0.9687544,0.0008545729,0.02474695,0.00194664,0.0002887566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02001129,0.001042952,0.9718336,0.0004749745,0.004243189,0.0002305199,4.787742e-7,0.0003811655,0.001781821],"genre_scores_gemma":[0.3437717,0.0000112829,0.655698,0.0003806445,0.00009327574,0.00001686353,9.485872e-8,0.000006349699,0.00002178551],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9528101,"threshold_uncertainty_score":0.9999758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07653531456358181,"score_gpt":0.4121240701509712,"score_spread":0.3355887555873894,"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."}}