{"id":"W4317792673","doi":"10.1109/wsc57314.2022.10015492","title":"Defining DEVS Models Using the Cadmium Toolkit","year":2022,"lang":"en","type":"article","venue":"2022 Winter Simulation Conference (WSC)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Modular design; Computer science; Formalism (music); Discrete event simulation; Interface (matter); Distributed computing; Theoretical computer science; Programming language; Event (particle physics); Modeling and simulation; Simulation; Parallel computing","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":[0.00203912,0.0009565053,0.0006233312,0.001085736,0.000654164,0.002249936,0.002473712,0.001042047,0.01155564],"category_scores_gemma":[0.004816291,0.001012092,0.00199841,0.0007365349,0.0008939177,0.002048027,0.003289382,0.002311214,0.00328785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001371121,"about_ca_system_score_gemma":0.002737188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007214141,"about_ca_topic_score_gemma":0.008889536,"domain_scores_codex":[0.9986595,0.0002957889,0.0002079551,0.0001627552,0.0005605752,0.0001133246],"domain_scores_gemma":[0.9983688,0.0007510797,0.0001084474,0.0003123598,0.0003759383,0.00008340011],"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":[0.00009208143,0.00008279961,0.002559124,0.0006675436,0.0001091515,0.00048743,0.0008528917,0.2632774,0.005611998,0.6580017,0.01966441,0.04859351],"study_design_scores_gemma":[0.00006982563,0.00003638415,0.0002676836,0.0002312209,0.00004172633,0.0002705508,0.0001471432,0.5245578,0.008589154,0.09223717,0.3734902,0.00006115087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002681533,0.0001083955,0.9785601,0.0002291792,0.00007359178,0.0001967775,0.001425573,0.005616282,0.01110843],"genre_scores_gemma":[0.06734253,0.000838912,0.9021685,0.0002832621,0.00004212745,0.001268802,0.006883778,0.003055485,0.01811665],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01155564,"threshold_uncertainty_score":0.03865749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2758098691571778,"score_gpt":0.4391026201023099,"score_spread":0.1632927509451321,"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."}}