{"id":"W4404926300","doi":"10.1177/00375497241291871","title":"100 volumes of SIMULATION—20 years of DEVS research","year":2024,"lang":"en","type":"article","venue":"SIMULATION","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Computer science; Discrete event simulation; Modeling and simulation; Simulation","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":[0.008826768,0.001098554,0.001312869,0.005273681,0.0009970479,0.006264848,0.002044257,0.001821207,0.01417804],"category_scores_gemma":[0.02896497,0.0009165638,0.001341824,0.007636339,0.003021771,0.006518153,0.004242505,0.003710361,0.004774014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00337335,"about_ca_system_score_gemma":0.002961822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002634404,"about_ca_topic_score_gemma":0.002499605,"domain_scores_codex":[0.9944949,0.002148156,0.0004540475,0.0005518996,0.002175226,0.0001758039],"domain_scores_gemma":[0.9743239,0.01757849,0.0006773591,0.00265353,0.003980244,0.0007864204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000176215,0.0001448999,0.004049778,0.002192717,0.0001706783,0.0002163524,0.001177126,0.02729614,0.001498624,0.2922083,0.07083995,0.6000292],"study_design_scores_gemma":[0.00002283357,0.0001056048,0.00138117,0.002213471,0.0000487758,0.0002773256,0.000552604,0.01856971,0.001283604,0.0929511,0.8825272,0.00006654335],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.02394979,0.33533,0.3917235,0.05669863,0.01445351,0.0003163272,0.003436188,0.003037848,0.1710541],"genre_scores_gemma":[0.200845,0.5034881,0.2109502,0.00921382,0.01365668,0.0006905687,0.009818757,0.003838284,0.0474985],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01417804,"threshold_uncertainty_score":0.04743028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3750201203607587,"score_gpt":0.578750852890615,"score_spread":0.2037307325298564,"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."}}