{"id":"W2543155682","doi":"10.22360/springsim.2016.tmsdevs.006","title":"DesignDEVS: Reinforcing Theoretical Principles in a Practical and Lightweight Simulation Environment","year":2016,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Autodesk (Canada)","funders":"","keywords":"DEVS; Computer science; Scripting language; Formalism (music); Key (lock); Modeling and simulation; Programming language; Software engineering; Discrete event simulation; Distributed computing; Simulation; Operating system","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":[0.005200376,0.0007712006,0.0005415105,0.0006528113,0.0006842447,0.00287045,0.002473035,0.00132685,0.007123253],"category_scores_gemma":[0.01089058,0.00109038,0.0009206592,0.0004249938,0.002124833,0.003033209,0.004096269,0.003558275,0.002931966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008384119,"about_ca_system_score_gemma":0.002626594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00100561,"about_ca_topic_score_gemma":0.001846057,"domain_scores_codex":[0.997303,0.001305308,0.0002217434,0.0002317472,0.0007554268,0.0001827298],"domain_scores_gemma":[0.9952526,0.002680127,0.0002610352,0.000951796,0.0005467936,0.0003076705],"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":[0.0001449677,0.0001629126,0.002573847,0.0005683618,0.00004319786,0.0003496773,0.001547786,0.1134407,0.0128372,0.7215388,0.01736569,0.1294269],"study_design_scores_gemma":[0.000124236,0.0001408363,0.0003610153,0.0003076795,0.00002988514,0.000439005,0.0002241101,0.4044544,0.01936748,0.1784375,0.3960411,0.00007284782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001795278,0.00004457722,0.9910833,0.0003614188,0.00005661926,0.00005345809,0.00006687151,0.002724482,0.003814087],"genre_scores_gemma":[0.03576186,0.000267352,0.95809,0.0002618005,0.00003901609,0.0003092345,0.0003228838,0.001658021,0.003289841],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007123253,"threshold_uncertainty_score":0.02750254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1587021993501048,"score_gpt":0.4223897170375677,"score_spread":0.2636875176874629,"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."}}