{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002151944,0.0008995917,0.0007926445,0.001504176,0.001091505,0.002479789,0.001531685,0.0009916991,0.005182856],"category_scores_gemma":[0.007829771,0.0007551005,0.001832189,0.001290001,0.004131129,0.005055509,0.003212294,0.004135019,0.0008119955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003619133,"about_ca_system_score_gemma":0.002139932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005683498,"about_ca_topic_score_gemma":0.003804431,"domain_scores_codex":[0.9966084,0.000587665,0.0003181078,0.0010132,0.001073392,0.0003992718],"domain_scores_gemma":[0.9904991,0.006202612,0.0009637033,0.00108688,0.0008568821,0.0003907809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003695222,0.00008329331,0.001235808,0.0004562602,0.0000750304,0.000620553,0.001209183,0.085038,0.01179375,0.8507145,0.00161414,0.04679],"study_design_scores_gemma":[0.0001033774,0.0001162149,0.0004149013,0.0001197903,0.00007013309,0.0001333759,0.000144786,0.2251182,0.01276316,0.7454943,0.0154568,0.00006495522],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06236459,0.0008277076,0.9173632,0.000683438,0.0001244987,0.000166713,0.0003788725,0.003265655,0.01482527],"genre_scores_gemma":[0.733919,0.0006812325,0.2502168,0.0003476485,0.0001664347,0.0003936048,0.0009315581,0.0004347847,0.01290897],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005683498,"threshold_uncertainty_score":0.02625877,"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."}}