{"id":"W2045976629","doi":"10.1109/wcsp.2011.6096965","title":"Energy efficient communication networks design for demand response in smart grid","year":2011,"lang":"en","type":"article","venue":"","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Smart grid; Computer science; Demand response; Computer network; Wireless; Distributed computing; Telecommunications network; Network packet; Energy consumption; Communications system; Power control; Packet loss; Power (physics); Telecommunications; Engineering; Electricity; Electrical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0007154861,0.0001089014,0.0001059029,0.0001230341,0.00003632215,0.00001274714,0.0001988553,0.00005696616,0.00004350593],"category_scores_gemma":[0.00001806985,0.0001090619,0.0000312276,0.0001544141,0.00001688698,0.00004134891,0.00005187385,0.00005212053,0.000006032049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008014916,"about_ca_system_score_gemma":0.000005288698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007206157,"about_ca_topic_score_gemma":0.00009126199,"domain_scores_codex":[0.9992954,0.0001051272,0.0001968545,0.0001174508,0.0000613494,0.0002238279],"domain_scores_gemma":[0.9993189,0.0002175247,0.00001653992,0.0003890914,0.00001774521,0.0000402179],"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":[0.0002336395,0.00002809903,0.00008515991,0.000005059816,0.00001674135,0.000001248022,0.000121897,0.990943,0.000055567,0.002633534,0.005402428,0.0004736246],"study_design_scores_gemma":[0.0003754939,0.00004787791,0.004818738,0.00001441326,0.000007693738,6.740777e-7,0.0000308855,0.9841677,0.001933299,0.0001209923,0.00834577,0.0001364698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02404897,0.0002722869,0.9696102,0.00002978274,0.0003340355,0.0001768713,5.003919e-7,0.000209674,0.005317735],"genre_scores_gemma":[0.9797232,0.00008812221,0.0195969,0.00007787735,0.00003693667,0.0002126902,0.000008140001,0.00003065618,0.0002254568],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9556742,"threshold_uncertainty_score":0.4447414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02725963643846009,"score_gpt":0.2027841917288709,"score_spread":0.1755245552904108,"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."}}