{"id":"W1956195433","doi":"10.1007/11767589_25","title":"Geist3D, a Simulation Tool for Geometry-Driven Petri Nets","year":2006,"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":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Petri net; Computer science; Mechatronics; Python (programming language); Actuator; Formalism (music); Virtual machine; Control engineering; Programming language; Distributed computing; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001327908,0.0007204609,0.0007899107,0.001840053,0.0004036711,0.0009855578,0.00422676,0.0005325389,0.000009024159],"category_scores_gemma":[0.0002787569,0.0007128377,0.0002765811,0.001252105,0.00035177,0.0009179952,0.001287918,0.000658536,0.00004101323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007478194,"about_ca_system_score_gemma":0.0005962911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002473757,"about_ca_topic_score_gemma":0.00003093522,"domain_scores_codex":[0.9942079,0.00004150431,0.0009986947,0.002239805,0.001502668,0.001009404],"domain_scores_gemma":[0.9950349,0.001669306,0.0005811794,0.001966481,0.0005949851,0.0001531899],"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":[0.000004935388,0.00001590208,0.00003498103,0.00004774734,0.000007737473,0.00002284725,0.0001157161,0.8143278,0.00003554024,0.004173248,0.00008435836,0.1811292],"study_design_scores_gemma":[0.0004287073,0.0001403369,0.00005547189,0.0003494897,0.000009959401,0.00003623699,3.531571e-8,0.9533453,0.0001381677,0.03731019,0.007398504,0.0007875719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001350909,0.0004790876,0.9932852,0.0003057013,0.002865003,0.001048848,0.00002145617,0.0003089441,0.001550659],"genre_scores_gemma":[0.3746844,0.000009094017,0.622515,0.0008409503,0.001041361,0.00003295092,0.00002065095,0.00006624824,0.0007893912],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3745493,"threshold_uncertainty_score":0.9995323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02521170232369617,"score_gpt":0.2680541675079275,"score_spread":0.2428424651842313,"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."}}