{"id":"W2085583139","doi":"10.1016/j.rcim.2007.09.010","title":"Design patterns for real-time distributed control system benchmarking","year":2008,"lang":"en","type":"article","venue":"Robotics and Computer-Integrated Manufacturing","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Benchmarking; Scheduling (production processes); Computer science; Automation; Control (management); Embedded system; Distributed computing; Control system; Software; Systems engineering; Industrial engineering; Engineering; Operating system","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001292878,0.0002820068,0.0003504142,0.0000981282,0.000233713,0.000107135,0.0001331753,0.0001247834,0.000006882265],"category_scores_gemma":[0.000003860895,0.0002641969,0.00007120007,0.00007185815,0.00002119069,0.00008042859,0.00002238492,0.000154913,0.000005856676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001003637,"about_ca_system_score_gemma":0.00001798133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002440206,"about_ca_topic_score_gemma":9.694812e-7,"domain_scores_codex":[0.9988889,0.00003544088,0.0003244855,0.0002712205,0.0001201811,0.0003598008],"domain_scores_gemma":[0.9993711,0.0001800108,0.00006095998,0.0001792455,0.00007176797,0.0001369419],"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":[0.00001370654,0.0000114427,0.00007105088,0.00009222273,0.00008857201,0.000023953,0.00007022863,0.9962548,0.00006502381,0.00005663402,0.000147545,0.003104846],"study_design_scores_gemma":[0.0008701641,0.00007307719,0.0005609836,0.0001549518,0.00004029939,0.00007365696,0.0000306756,0.9946483,0.003197506,0.000008629882,0.00004046701,0.0003013191],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03054395,0.00004868897,0.9676833,0.0000176899,0.0005164648,0.0003441591,0.00006267924,0.0007526315,0.00003048664],"genre_scores_gemma":[0.6900233,0.00009684974,0.3093722,0.00001741591,0.0002469849,0.00002231999,0.0001523506,0.00005015654,0.00001841549],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6594793,"threshold_uncertainty_score":0.999981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01191463749371005,"score_gpt":0.1884891577799322,"score_spread":0.1765745202862221,"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."}}