{"id":"W2165212411","doi":"10.1109/anss.2007.25","title":"Kiltera: A Simulation Language for Timed, Dynamic Structure Systems","year":2007,"lang":"en","type":"article","venue":"","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Server; Process (computing); Distributed computing; Theoretical computer science; Discrete event simulation; Programming language; Simulation; Computer network","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":[0.0002594628,0.0001336111,0.000168255,0.0002465848,0.0001350512,0.0002533215,0.0001225572,0.00007531492,0.000080472],"category_scores_gemma":[0.000062905,0.0001073209,0.00007118728,0.0003860928,0.00001188966,0.0005281913,0.00003051472,0.00005531105,0.00003912963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000200726,"about_ca_system_score_gemma":0.000006466777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003875316,"about_ca_topic_score_gemma":0.0001915865,"domain_scores_codex":[0.9991505,0.00000160076,0.0002346417,0.0002193905,0.0001599765,0.0002339121],"domain_scores_gemma":[0.9994168,0.0000469888,0.0001294548,0.0001523381,0.0002459266,0.000008474181],"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":[0.0001841297,0.0001070938,0.003216546,0.001832677,0.000174115,0.00001309724,0.0002135101,0.8919139,0.006299256,0.01136915,0.0009447759,0.08373176],"study_design_scores_gemma":[0.0003323217,0.000001876488,0.0003258424,0.00002719836,0.00007939232,5.057194e-7,0.0003243104,0.9942814,0.00002229062,0.0006207584,0.00381822,0.0001658532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.285043,0.0002379267,0.7114604,0.0001820951,0.0003192927,0.0002462834,0.000005451505,0.0002542828,0.002251228],"genre_scores_gemma":[0.9965808,6.641368e-7,0.0006386679,0.0004671299,0.0008146468,0.000005993154,0.0001383824,0.00002507355,0.001328642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7115378,"threshold_uncertainty_score":0.4376421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01000521883933488,"score_gpt":0.2652388411318293,"score_spread":0.2552336222924944,"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."}}