{"id":"W1903959643","doi":"10.1109/mcse.2015.89","title":"Discrete-Event Modeling and Simulation for Embedded Systems","year":2015,"lang":"en","type":"article","venue":"Computing in Science & Engineering","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Discrete event simulation; Reliability (semiconductor); Event (particle physics); Modeling and simulation; Complex system; Distributed computing; Theoretical computer science; Simulation; Artificial intelligence","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":[0.001222282,0.001474346,0.001497716,0.001073152,0.0005220384,0.002085699,0.001615193,0.001593493,0.004862371],"category_scores_gemma":[0.003289361,0.0005877556,0.001567363,0.001353848,0.001040187,0.00153852,0.001442816,0.00236897,0.001849647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008738202,"about_ca_system_score_gemma":0.001394226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002685552,"about_ca_topic_score_gemma":0.00169928,"domain_scores_codex":[0.9986085,0.0005466365,0.0001368199,0.0001426412,0.0005108212,0.00005461776],"domain_scores_gemma":[0.9986488,0.0008532181,0.00008937293,0.0002059206,0.0001534459,0.00004917717],"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":[0.00006725584,0.00007016843,0.0004702436,0.0005894194,0.0001690712,0.0002089086,0.0001352715,0.5054737,0.003471271,0.4104949,0.005630411,0.07321932],"study_design_scores_gemma":[0.00003005908,0.00003758389,0.00009142999,0.00009099697,0.00003456383,0.0000745301,0.00001813219,0.8171656,0.001440511,0.1387503,0.04224262,0.00002364381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008665114,0.002228692,0.9907143,0.0003167293,0.0002511566,0.00006334919,0.00009947738,0.00051678,0.00494304],"genre_scores_gemma":[0.1960373,0.01620298,0.7658151,0.0004860462,0.0007545856,0.001017221,0.001429143,0.0004726989,0.01778486],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004862371,"threshold_uncertainty_score":0.01626623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1621859052079397,"score_gpt":0.4455657484464419,"score_spread":0.2833798432385022,"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."}}