{"id":"W1556367361","doi":"10.1109/wsc.2003.1261479","title":"Models for continuous and hybrid system simulation","year":2004,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Rotation formalisms in three dimensions; Computer science; Formalism (music); Hybrid system; Abstraction; Discrete event simulation; Continuous modelling; Modeling and simulation; Continuous variable; Distributed computing; Theoretical computer science; Simulation; Mathematics; Mathematical optimization; Machine learning","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":[0.002046999,0.0007697513,0.001036345,0.0007054597,0.0006021787,0.00212366,0.001956516,0.001249653,0.008360521],"category_scores_gemma":[0.005487247,0.0005687184,0.001522023,0.0007384482,0.001132733,0.002132118,0.002004467,0.002373005,0.001490369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001330781,"about_ca_system_score_gemma":0.001555223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003053774,"about_ca_topic_score_gemma":0.002280653,"domain_scores_codex":[0.9985049,0.0005794119,0.0001289878,0.0001605754,0.0005431699,0.00008294331],"domain_scores_gemma":[0.9979274,0.001086806,0.0001007127,0.0004664813,0.0003246298,0.00009385805],"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":[0.00003508883,0.0000353378,0.0003407151,0.0001337678,0.00004974294,0.0001032607,0.0001266244,0.3543411,0.001199395,0.623582,0.003333302,0.01671969],"study_design_scores_gemma":[0.00002173173,0.00001622153,0.00006391229,0.00003105416,0.00001047734,0.00003884222,0.00002296609,0.7977427,0.0006943918,0.1812997,0.02004638,0.00001169234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001882256,0.0002689444,0.9892623,0.0003154849,0.00008666466,0.0000824169,0.0002758734,0.0005786806,0.007247408],"genre_scores_gemma":[0.1799076,0.001159527,0.8033485,0.0002863229,0.0001689689,0.001384358,0.001735874,0.0004971946,0.01151168],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008360521,"threshold_uncertainty_score":0.02796876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1405677211404645,"score_gpt":0.4158041964961756,"score_spread":0.2752364753557112,"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."}}