{"id":"W2003082482","doi":"10.1109/tase.2011.2163510","title":"Workflow Nets for Multiagent Cooperation","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Automation Science and Engineering","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Soundness; Petri net; Reachability; Workflow; Computer science; Concurrency; Distributed computing; Task (project management); Process architecture; Theoretical computer science; Protocol (science); Programming language; Extension (predicate logic); Software engineering; Database; Systems engineering; Engineering","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":[0.00285423,0.001482608,0.0007593217,0.001437083,0.001545994,0.002974788,0.00188147,0.001767616,0.006181988],"category_scores_gemma":[0.003305789,0.0005701652,0.00171328,0.0015303,0.003427787,0.004154427,0.002660791,0.004088413,0.001537183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003041153,"about_ca_system_score_gemma":0.002905978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004548095,"about_ca_topic_score_gemma":0.003965053,"domain_scores_codex":[0.9981326,0.0006579557,0.0002176214,0.0003261558,0.0005099637,0.0001556572],"domain_scores_gemma":[0.998216,0.0008595042,0.0002339499,0.0002795078,0.0002571675,0.0001539351],"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":[0.00001021385,0.00001185152,0.00004068752,0.00006245042,0.000008907909,0.00008575443,0.0001035149,0.01106989,0.0002666822,0.9805792,0.0009664727,0.006794255],"study_design_scores_gemma":[0.00001802347,0.00001244181,0.00003639599,0.00006538358,0.00001229345,0.0000642138,0.00004421814,0.03880041,0.0004004783,0.9269444,0.03358751,0.00001421965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001740713,0.001359062,0.9773182,0.001065981,0.0002683715,0.0001182145,0.0001523295,0.0003102387,0.01766709],"genre_scores_gemma":[0.174922,0.003729196,0.7962902,0.0008814341,0.0005171939,0.001211315,0.0007690953,0.0002105254,0.02146904],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006181988,"threshold_uncertainty_score":0.02206516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04066885111898593,"score_gpt":0.246687818897751,"score_spread":0.206018967778765,"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."}}