{"id":"W2582700787","doi":"10.1049/iet-gtd.2016.1853","title":"Multifunctional cyber‐physical system testbed based on a source‐grid combined scheduling control simulation system","year":2017,"lang":"en","type":"article","venue":"IET Generation Transmission & Distribution","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"RTDS Technologies (Canada)","funders":"National Natural Science Foundation of China","keywords":"Testbed; Cyber-physical system; Computer science; Scheduling (production processes); Grid; Grid system; Distributed computing; Embedded system; Real-time computing; Computer network; 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","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0008383805,0.0004117579,0.0004633803,0.00009834339,0.002208154,0.001131452,0.0007941476,0.0002355417,0.000005451694],"category_scores_gemma":[0.0001250301,0.0003737216,0.0002886475,0.000218702,0.00005961235,0.0005828072,0.000039401,0.0002823259,0.00009761754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004497906,"about_ca_system_score_gemma":0.0001916485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004970034,"about_ca_topic_score_gemma":0.000001321803,"domain_scores_codex":[0.9966277,0.0004236716,0.0006929853,0.0008548676,0.0009460425,0.0004547015],"domain_scores_gemma":[0.9972539,0.0002542276,0.0006033198,0.001098469,0.0004975086,0.0002925705],"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":[0.0001439837,0.0002338088,0.0002728236,0.0001198929,0.00003104497,0.000009167716,0.000076139,0.9758319,0.004636716,0.01112971,0.0004954684,0.007019293],"study_design_scores_gemma":[0.003361935,0.0002427665,0.002317918,0.0003862119,0.00004394066,0.00000843724,0.00002440431,0.9882046,0.001824518,0.00001552801,0.003177329,0.0003924146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04222745,0.00002149276,0.953401,0.000711878,0.001696803,0.0006860516,0.0002238718,0.0008043079,0.0002271692],"genre_scores_gemma":[0.9949819,4.446577e-7,0.002015501,0.00006424222,0.00117395,0.00007703488,0.001607683,0.00002427351,0.00005496986],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9527544,"threshold_uncertainty_score":0.9999055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02073477735930082,"score_gpt":0.2559157849360823,"score_spread":0.2351810075767815,"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."}}