{"id":"W2326840989","doi":"10.3182/20050703-6-cz-1902.01480","title":"A HYBRID SIMULATION/PHYSICAL ENVIRONMENT FOR BENCHMARKING REAL-TIME DISTRIBUTED CONTROL SYSTEMS","year":2005,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Benchmarking; Java; Control (management); Real-time simulation; Computer science; Real-time Control System; Control system; Distributed computing; Control engineering; Embedded system; Engineering; Operating system; 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":[0.00277641,0.001129963,0.001096602,0.001157795,0.0007789584,0.00118796,0.00221223,0.001199584,0.006040696],"category_scores_gemma":[0.004336965,0.0006239215,0.0006019403,0.001035788,0.0008154149,0.001096004,0.001216309,0.001112003,0.0006153094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009441615,"about_ca_system_score_gemma":0.001460935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008479103,"about_ca_topic_score_gemma":0.007134775,"domain_scores_codex":[0.9983145,0.0007285955,0.00009917893,0.0001245844,0.000576106,0.00015709],"domain_scores_gemma":[0.9965457,0.001814002,0.000133922,0.0007078528,0.0005914334,0.0002070911],"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":[0.0007196951,0.0004697544,0.001993424,0.0001087718,0.00009970393,0.0001401811,0.00009088688,0.9598124,0.005330546,0.00599238,0.002918821,0.02232344],"study_design_scores_gemma":[0.0001513264,0.0001497427,0.0003977213,0.000004550364,0.00001372906,0.00001749229,0.00001805714,0.9937116,0.003212902,0.0009713445,0.001335084,0.00001645593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3828238,0.0003797534,0.5627906,0.0005143814,0.00039025,0.0006004244,0.002012562,0.02660217,0.02388612],"genre_scores_gemma":[0.8778458,0.00009162932,0.1173879,0.00007315861,0.00002701994,0.0004211859,0.001155658,0.0007863837,0.002211313],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008479103,"threshold_uncertainty_score":0.02020812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03512599670431799,"score_gpt":0.3395909122626418,"score_spread":0.3044649155583238,"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."}}