{"id":"W4226424099","doi":"10.1007/978-3-030-99253-8_5","title":"Separators in Continuous Petri Nets","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes 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":"Algorithm; Artificial intelligence; Computer science","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":[0.003039079,0.001004794,0.0008939757,0.001948276,0.001362744,0.002921539,0.001049949,0.001231227,0.009156683],"category_scores_gemma":[0.007070451,0.0007308738,0.001890019,0.001218462,0.003722347,0.005588809,0.003368413,0.003730249,0.001651557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002695356,"about_ca_system_score_gemma":0.002042799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002119203,"about_ca_topic_score_gemma":0.001554396,"domain_scores_codex":[0.9969463,0.0007657988,0.0003510994,0.0007723904,0.0008295071,0.0003348911],"domain_scores_gemma":[0.9925821,0.004848002,0.0008203496,0.0006516576,0.0006768237,0.0004210649],"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":[0.0002533197,0.00005811619,0.0003813351,0.0002720127,0.0000507748,0.0004196635,0.0006843896,0.02841458,0.004593292,0.9320464,0.001963287,0.03086283],"study_design_scores_gemma":[0.00009412113,0.00009390246,0.0001557549,0.0001113406,0.00005292562,0.00009707515,0.0001067719,0.08634003,0.006902382,0.8778797,0.02811846,0.00004748839],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0554691,0.002289789,0.8909818,0.001827028,0.0005270072,0.0001514042,0.0004297924,0.003413772,0.04491024],"genre_scores_gemma":[0.7621433,0.00169749,0.1902943,0.0007646505,0.0005166368,0.0004088395,0.0009277201,0.0007726469,0.04247449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009156683,"threshold_uncertainty_score":0.03063214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01872214501636387,"score_gpt":0.252299790098892,"score_spread":0.2335776450825281,"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."}}