{"id":"W2351698932","doi":"","title":"Hybrid Petri Nets and Analysis of Its Reachability","year":2000,"lang":"en","type":"article","venue":"Beijing Hangkong Hangtian Daxue xuebao","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Reachability; Petri net; Stochastic Petri net; Computer science; Process architecture; Programming language; Theoretical computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006207506,0.0007389417,0.0006453961,0.001923283,0.000895809,0.001121096,0.0009302452,0.000502415,0.002618749],"category_scores_gemma":[0.001374734,0.0004718362,0.001486415,0.00125975,0.001130224,0.001275482,0.0006799339,0.0007998606,0.000242515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001443953,"about_ca_system_score_gemma":0.001743031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01646884,"about_ca_topic_score_gemma":0.007165174,"domain_scores_codex":[0.9994418,0.0001201141,0.00003000501,0.0001193881,0.0001952915,0.00009333846],"domain_scores_gemma":[0.9993387,0.0004808417,0.00004191799,0.00002876514,0.00008752554,0.0000222355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002657935,0.00007384791,0.002682421,0.0002389249,0.0001605041,0.0004622254,0.0002382446,0.6331589,0.01026797,0.3047876,0.000815104,0.04684847],"study_design_scores_gemma":[0.00001247061,0.00002447112,0.0007902889,0.00001675352,0.00007186723,0.00005615294,0.00004721855,0.9177052,0.002295615,0.07775614,0.00120709,0.00001673144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07997317,0.00110251,0.9032347,0.0001373767,0.00004286411,0.0000807492,0.0002469093,0.0004160122,0.01476566],"genre_scores_gemma":[0.9120935,0.0007605974,0.07741521,0.00003721614,0.00002903979,0.0002121595,0.0004872853,0.00009928005,0.008865759],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01646884,"threshold_uncertainty_score":0.03274596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01986034322639122,"score_gpt":0.2497032975927116,"score_spread":0.2298429543663204,"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."}}