{"id":"W129094118","doi":"10.5555/1999416.1999442","title":"Symbolic flattening of DEVS models","year":2010,"lang":"en","type":"article","venue":"Summer Computer Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"DEVS; Flattening; Computer science; Modular design; Modelica; USable; Formalism (music); Theoretical computer science; Computation; Programming language; Symbolic computation; Modeling and simulation; Simulation; Engineering; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0007001183,0.0001444516,0.0002661712,0.0002756652,0.0001274398,0.0001747274,0.0007078413,0.0001140933,0.0005435856],"category_scores_gemma":[0.0001487057,0.0001231658,0.0001070936,0.0006109456,0.0001046646,0.0004760495,0.0001618806,0.0002058514,0.0001015398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007091345,"about_ca_system_score_gemma":0.00007452324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002955418,"about_ca_topic_score_gemma":0.0000212056,"domain_scores_codex":[0.9978284,0.00006486192,0.0007657487,0.0004305211,0.0007299503,0.0001805071],"domain_scores_gemma":[0.996519,0.001079152,0.0003329707,0.0007994075,0.00116805,0.0001014387],"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":[0.00001048446,0.0000607911,0.01000011,0.000003819951,0.00001144791,4.837234e-7,0.0006753677,0.5224258,0.00263802,0.2122681,0.0005577094,0.2513478],"study_design_scores_gemma":[0.0001613808,0.00001643019,0.00784723,0.000007433267,0.000004717764,8.158614e-7,0.00001952188,0.8905632,0.001102621,0.09522455,0.004928223,0.0001238811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2409213,0.000004732789,0.7550945,0.0002110438,0.0002208229,0.000183272,0.000008401325,0.00008970714,0.003266119],"genre_scores_gemma":[0.9566228,9.437753e-7,0.04279696,0.0001740828,0.0001273494,0.00001144953,0.000009071155,0.0000106975,0.0002466955],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7157014,"threshold_uncertainty_score":0.5951881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2563621658795836,"score_gpt":0.4348785207737008,"score_spread":0.1785163548941172,"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."}}