{"id":"W2950602861","doi":"10.48550/arxiv.1108.5493","title":"Green Cellular Networks: A Survey, Some Research Issues and Challenges","year":2011,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cellular network; Femtocell; Efficient energy use; Standardization; Software deployment; Computer science; Base station; Telecommunications; Risk analysis (engineering); Business; Engineering; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007914914,0.0003151265,0.0003921803,0.0003430371,0.0001064593,0.0000359357,0.0004710995,0.0004790126,0.00002232593],"category_scores_gemma":[0.00003403119,0.0003959339,0.00006268179,0.0002824826,0.0001432647,0.0002808558,0.000696831,0.0007853194,0.0000414354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001662688,"about_ca_system_score_gemma":0.00002618113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001238038,"about_ca_topic_score_gemma":0.0005636442,"domain_scores_codex":[0.9982178,0.0003500438,0.0001901273,0.000718096,0.00007167098,0.0004522718],"domain_scores_gemma":[0.9986559,0.0001474021,0.0000701977,0.0007626819,0.0002042857,0.0001595762],"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":[0.00002382277,0.00002080126,0.0008307513,0.0005094609,0.0001181709,0.000106554,0.0003719458,0.9868394,0.00002389285,0.01061618,0.0001431664,0.0003959255],"study_design_scores_gemma":[0.0004713369,0.00005596918,0.001405687,0.0003807375,0.00006207482,0.000003091174,0.0003457599,0.9734951,0.0001917767,0.02192449,0.0007624372,0.0009014966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2301963,0.1088248,0.6461309,0.00008790691,0.002168751,0.002227959,0.0001076072,0.00195913,0.008296571],"genre_scores_gemma":[0.9483639,0.04965913,0.0002483159,0.000002399632,0.0002205208,0.000002633362,0.00005160713,0.00008141223,0.001370059],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7181676,"threshold_uncertainty_score":0.9998493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.207289050506088,"score_gpt":0.2259555469338714,"score_spread":0.0186664964277834,"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."}}