{"id":"W109577100","doi":"10.1007/978-0-387-36594-7_11","title":"Design Patterns for Distributed Control System Benchmaking","year":2007,"lang":"en","type":"book-chapter","venue":"","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Benchmarking; Scheduling (production processes); Automation; Computer science; Control (management); Control system; Systems engineering; Distributed computing; Embedded system; Engineering; Operations management","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":[0.0002019239,0.000300028,0.0003483128,0.0001203144,0.0000553115,0.00005259736,0.0001267855,0.0003708956,0.0001832962],"category_scores_gemma":[0.000008986793,0.0002950055,0.0001261476,0.00001806143,0.000009623405,0.000031862,0.000007721901,0.0001769853,0.00004285872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001638259,"about_ca_system_score_gemma":0.00001490843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001851599,"about_ca_topic_score_gemma":0.000002083916,"domain_scores_codex":[0.9990259,0.00000424917,0.0003557787,0.0002071143,0.0001527727,0.0002541939],"domain_scores_gemma":[0.999341,0.0001854585,0.00006765902,0.0002076576,0.0001121934,0.00008608488],"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":[0.00002344112,0.000004457695,0.000004613466,0.0005382929,0.0003655901,0.00002346465,0.00003100007,0.9428528,0.000004735469,0.04845239,0.001375885,0.006323359],"study_design_scores_gemma":[0.0007286859,0.00002668439,0.000001534937,0.0003184545,0.0001110324,0.00001052768,0.00002135439,0.989958,0.00007733132,0.00009518762,0.008219954,0.0004312147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[3.546264e-7,0.0002269966,0.9085163,0.00000666149,0.0006917728,0.0005362606,0.0003132458,0.0009201573,0.08878819],"genre_scores_gemma":[0.04508731,0.0001211767,0.7614512,0.0002915773,0.00268879,0.0002438346,0.002857493,0.0008767675,0.1863818],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1470651,"threshold_uncertainty_score":0.9999502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02890303023126806,"score_gpt":0.2282795245078484,"score_spread":0.1993764942765804,"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."}}