{"id":"W39533484","doi":"10.1016/b978-0-12-415844-3.00007-3","title":"Energy-Efficient Green Radio Communications for Delay Tolerant Applications","year":2012,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Energy (signal processing); Efficient energy use; Telecommunications; Electrical engineering; Engineering; Physics","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":[0.0001046758,0.0004224938,0.0004255167,0.0001473157,0.0002178431,0.00002486055,0.0005733125,0.0003298174,0.00003570399],"category_scores_gemma":[0.000001689624,0.0004735071,0.0002018276,0.00002757163,0.0001127297,0.00004199102,0.000117713,0.0003102,0.00004935306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002256136,"about_ca_system_score_gemma":0.00003267236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.285711e-7,"about_ca_topic_score_gemma":0.000019512,"domain_scores_codex":[0.9986582,0.00001268722,0.0005064032,0.0002804426,0.0001718285,0.000370436],"domain_scores_gemma":[0.9979979,0.0001358512,0.0001592927,0.001427378,0.0001295843,0.0001500277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002960717,0.000008806626,2.37465e-7,0.00006927238,0.00008998203,2.890358e-7,0.00008911384,0.0842509,0.00001177756,0.04502661,0.0001206874,0.8703294],"study_design_scores_gemma":[0.0001642412,0.000008192042,4.007481e-7,0.0001018301,0.0001259119,0.000006781518,0.000002128522,0.1548301,0.00001762331,0.002387197,0.8419382,0.0004173708],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[4.643253e-7,0.01168076,0.3393455,0.00002708869,0.0001878959,0.001040436,0.0001377994,0.0003915491,0.6471885],"genre_scores_gemma":[0.004174485,0.002772099,0.05815931,0.000166999,0.001293996,0.003598556,0.001296477,0.000610505,0.9279276],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.869912,"threshold_uncertainty_score":0.9997717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01482736264882076,"score_gpt":0.2245451578484669,"score_spread":0.2097177951996462,"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."}}