{"id":"W1554369138","doi":"10.1109/tcomm.2015.2451648","title":"On the Deployment of Energy Sources in Wireless-Powered Cellular Networks","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Base station; Telecommunications link; Wireless; Energy harvesting; Information transfer; Computer network; Computer science; Duplex (building); Beacon; Signal-to-noise ratio (imaging); Electronic engineering; Spectral efficiency; Energy (signal processing); Efficient energy use; Electrical engineering; Engineering; Telecommunications; Channel (broadcasting); Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002588688,0.000170649,0.0001839741,0.0001395916,0.0001376116,0.00002291569,0.0008206618,0.0001172963,0.00001773414],"category_scores_gemma":[0.000007690939,0.0001515426,0.00007554321,0.0004831186,0.0001529785,0.00006442986,0.000006173026,0.000492186,0.000008234369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001186849,"about_ca_system_score_gemma":0.0000287018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001847407,"about_ca_topic_score_gemma":0.001138751,"domain_scores_codex":[0.9989086,0.0002015836,0.0003564785,0.0001298727,0.0001848295,0.0002186842],"domain_scores_gemma":[0.9974531,0.0008125975,0.00005905974,0.00153873,0.000055626,0.0000809117],"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":[0.000009450011,0.0001631926,0.00001957845,0.000003596515,0.0000406286,6.076375e-7,0.0002117093,0.9889384,0.0003119724,0.006987515,0.0003397335,0.002973655],"study_design_scores_gemma":[0.0003895438,0.00006958009,0.00004746859,0.0001757201,0.00002628497,0.000001772669,0.0001673192,0.9827645,0.01338434,0.0006611316,0.002091389,0.0002209317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1038728,0.00110203,0.8848739,0.0006364875,0.0005820377,0.00020416,0.00001411454,0.0004067096,0.008307793],"genre_scores_gemma":[0.9981952,0.0008282154,0.0005265651,0.00008048816,0.00002114879,0.0001634296,0.00000841446,0.00005092289,0.0001255864],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8943225,"threshold_uncertainty_score":0.6179729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03025951652616589,"score_gpt":0.2241401640122768,"score_spread":0.1938806474861109,"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."}}