{"id":"W2024925628","doi":"10.1109/mwc.2014.6845057","title":"Green radio communications in a heterogeneous wireless medium","year":2014,"lang":"en","type":"article","venue":"IEEE Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Telecommunications link; Computer network; Base station; Wireless network; Telecommunications; Wireless; Radio resource management; Mobile telephony; Fading; Bandwidth (computing); Cellular network; Efficient energy use; Quality of service; Mobile radio; Electrical engineering; Channel (broadcasting); 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003362749,0.0002693473,0.0003842358,0.0002712417,0.0002668823,0.00004810665,0.002618173,0.0001757744,0.000009269019],"category_scores_gemma":[0.00002993835,0.000322448,0.00008069533,0.0006352012,0.0002668028,0.0002943852,0.0002907971,0.0005040813,0.00009781613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002481384,"about_ca_system_score_gemma":0.00003650719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002455477,"about_ca_topic_score_gemma":0.003615265,"domain_scores_codex":[0.9982225,0.0003365955,0.0006662914,0.0002347204,0.0001622426,0.0003777033],"domain_scores_gemma":[0.994072,0.0004504065,0.0001202117,0.005111258,0.0001162138,0.0001299334],"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":[0.00002511126,0.0008271657,0.006319728,0.0004299805,0.0002897825,0.000006978745,0.008038021,0.8203454,0.04088631,0.0273966,0.001160906,0.09427403],"study_design_scores_gemma":[0.0006022761,0.0000189003,0.0004067825,0.0001518096,0.00002091485,0.00002588674,0.0001234416,0.987202,0.001684122,0.0004388911,0.008895869,0.0004290403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1668852,0.005564604,0.7908162,0.004063284,0.001417257,0.002496735,0.0001352107,0.003601244,0.02502031],"genre_scores_gemma":[0.9851483,0.001888468,0.01204742,0.00007153638,0.00006567611,0.000430311,0.0001341681,0.0001048165,0.000109324],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8182631,"threshold_uncertainty_score":0.9999228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02422508260033315,"score_gpt":0.2625001041345688,"score_spread":0.2382750215342357,"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."}}