{"id":"W2105547551","doi":"10.1109/twc.2012.052512.111766","title":"When the Smart Grid Meets Energy-Efficient Communications: Green Wireless Cellular Networks Powered by the Smart Grid","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":230,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Smart grid; Cellular network; Base station; Computer science; Electricity; Computer network; Efficient energy use; Wireless; Base transceiver station; Renewable energy; Grid; Wireless network; Telecommunications; Key distribution in wireless sensor networks; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007478708,0.000339195,0.0005752192,0.0002718616,0.0005342059,0.00222375,0.0005254626,0.00174022,0.001970388],"category_scores_gemma":[0.002532171,0.0002714999,0.0002691338,0.0004030492,0.0009343682,0.004364812,0.001230892,0.0008993243,0.0002501927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008937658,"about_ca_system_score_gemma":0.0007279002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00198158,"about_ca_topic_score_gemma":0.002675149,"domain_scores_codex":[0.9995096,0.0001656155,0.00001258761,0.00007039982,0.0001264176,0.000115347],"domain_scores_gemma":[0.9994869,0.0002314512,0.00007735244,0.00004437772,0.00008159471,0.0000782823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003025157,0.0001017614,0.004007974,0.0001835638,0.0001002964,0.001536772,0.0004227513,0.3496986,0.008385802,0.5644964,0.01317264,0.05759089],"study_design_scores_gemma":[0.00005121146,0.00007096086,0.001080418,0.00005098787,0.00003859106,0.0002601174,0.0005101886,0.5916204,0.002113196,0.3887303,0.01542836,0.00004533057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3214987,0.003459217,0.5855104,0.02344923,0.001101616,0.0001439526,0.0002763532,0.0003397017,0.06422083],"genre_scores_gemma":[0.9854381,0.0009336628,0.009925202,0.000531772,0.0001493131,0.00002942079,0.00002733765,0.00001715125,0.002947967],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00222375,"threshold_uncertainty_score":0.006591558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01761386651531803,"score_gpt":0.2262534024574216,"score_spread":0.2086395359421036,"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."}}