{"id":"W3081583343","doi":"10.1109/tvt.2020.3020933","title":"Statistical Energy Efficiency Characterization for Wireless Transmission Over Fading Channels","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fading; Computer science; Wireless; Transmission (telecommunications); Electronic engineering; Channel (broadcasting); Computer network; Efficient energy use; Telecommunications; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001834293,0.000933392,0.0005484343,0.0009083119,0.0002717043,0.0009663206,0.000768312,0.0005143892,0.0009989176],"category_scores_gemma":[0.01096678,0.0002403752,0.0003614213,0.001013981,0.001114322,0.001586554,0.0006758367,0.0008416589,0.0002869263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008461641,"about_ca_system_score_gemma":0.0007979901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008298912,"about_ca_topic_score_gemma":0.0005725796,"domain_scores_codex":[0.9986537,0.0004239481,0.00006742017,0.0001460414,0.0005356697,0.0001731963],"domain_scores_gemma":[0.99097,0.006656513,0.0006462976,0.0007025196,0.0009297752,0.0000949443],"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":[0.00007643617,0.00007852742,0.002005677,0.00009281106,0.00004366185,0.0001054724,0.00006799845,0.9002562,0.01715085,0.06258312,0.0005263805,0.01701294],"study_design_scores_gemma":[0.000002229534,0.00006491905,0.0008190247,0.00001125782,0.00001065042,0.00009668879,0.00002695308,0.9849593,0.004853755,0.008694066,0.0004487427,0.00001241815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07255427,0.000749099,0.9206175,0.0002000912,0.00002840718,0.00003891602,0.0001623999,0.0001832854,0.005465912],"genre_scores_gemma":[0.9750841,0.001087237,0.02185255,0.0001192847,0.0000973756,0.0001112545,0.0001987487,0.0001145031,0.001334944],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001834293,"threshold_uncertainty_score":0.009700775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008653572505328045,"score_gpt":0.2166897170109006,"score_spread":0.2080361445055726,"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."}}