{"id":"W2408854593","doi":"","title":"Geometry-driven petri nets and a method for modelling mechatronic control systems","year":2006,"lang":"en","type":"dissertation","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Mechatronics; Process (computing); Control engineering; Computer science; Petri net; Rapid prototyping; Software; Interface (matter); Virtual prototyping; Control system; Engineering; Systems engineering; Simulation; Distributed computing; Mechanical 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":[0.001373966,0.001263958,0.000572936,0.001109397,0.0007655428,0.001900139,0.001969762,0.001109364,0.004418662],"category_scores_gemma":[0.001934016,0.0008649511,0.002101467,0.0009809172,0.002234587,0.00190594,0.0009998397,0.002040451,0.001107602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001521766,"about_ca_system_score_gemma":0.002307054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007537501,"about_ca_topic_score_gemma":0.007778118,"domain_scores_codex":[0.9990898,0.000307726,0.00007451687,0.0001309714,0.0003413761,0.00005561376],"domain_scores_gemma":[0.9992139,0.0004952733,0.00005461972,0.00009287132,0.0001132734,0.00002991381],"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":[0.0000531158,0.00003702077,0.0003773084,0.0003011472,0.00003708636,0.0003037868,0.000501905,0.3670372,0.007004476,0.5682409,0.001767698,0.05433827],"study_design_scores_gemma":[0.0000447147,0.00006226545,0.0001337162,0.0001406653,0.00004158935,0.0002395284,0.0001006073,0.7562816,0.006362257,0.1664781,0.07006282,0.00005213459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006395712,0.00008279477,0.9974421,0.00004316233,0.0000340656,0.00005414827,0.00003698883,0.0002459009,0.001421264],"genre_scores_gemma":[0.03292499,0.0005713924,0.9612986,0.00003545503,0.00002688942,0.0003414824,0.0001515427,0.0001384015,0.004511245],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007537501,"threshold_uncertainty_score":0.01498729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08708359022321108,"score_gpt":0.4339598111346161,"score_spread":0.346876220911405,"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."}}