{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001876945,0.0001945347,0.0002462656,0.000275784,0.001248204,0.000482397,0.00124441,0.0000591285,0.007153951],"category_scores_gemma":[0.0004264005,0.0001501143,0.0001712441,0.001158659,0.0000915051,0.0005794883,0.0007055388,0.0003912273,0.00008578358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001509201,"about_ca_system_score_gemma":0.0002211905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008992569,"about_ca_topic_score_gemma":0.000024378,"domain_scores_codex":[0.9964191,0.0003674653,0.0008289254,0.0006063757,0.00148088,0.0002972718],"domain_scores_gemma":[0.9964992,0.001464416,0.0004040567,0.001001312,0.0005405499,0.0000904929],"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":[0.00001877796,0.00002911489,0.001210603,8.228761e-7,0.000008595381,0.000001160511,0.001091937,0.9294629,0.0001707518,0.05393008,0.001445659,0.01262965],"study_design_scores_gemma":[0.0001707723,0.00003153353,0.0003817405,0.000004368274,0.00001313245,0.000006039555,0.001678212,0.8782998,0.0001107404,0.07059348,0.04853357,0.0001765652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07965434,0.00007931138,0.9096113,0.001422946,0.000396976,0.0005306728,0.00008964124,0.0001727004,0.008042062],"genre_scores_gemma":[0.9940759,0.000001796741,0.001952476,0.001101275,0.00007547158,0.0001168321,0.00003207622,0.0000220801,0.002622091],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9144216,"threshold_uncertainty_score":0.9937537,"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."}}