{"id":"W7098420659","doi":"","title":"Communications, Toronto: Canada (2011)&amp;quot; Self-Optimized Precoding and Power Control in Cellular Networks","year":2011,"lang":"en","type":"article","venue":"","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cellular network; Power control; Precoding; Transmitter power output; Radio resource management; Efficient energy use; Resource allocation; Interference (communication); Spectral efficiency; Power (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001013493,0.001013472,0.0008023928,0.001068787,0.00193336,0.003011486,0.001011127,0.001622915,0.07825392],"category_scores_gemma":[0.00227715,0.0005353601,0.0002583624,0.003811559,0.001643804,0.001086162,0.0009459295,0.001372464,0.0172163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01188495,"about_ca_system_score_gemma":0.007803434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4759748,"about_ca_topic_score_gemma":0.673141,"domain_scores_codex":[0.9991724,0.0001396602,0.00003538657,0.00009863437,0.000423302,0.0001306068],"domain_scores_gemma":[0.9983712,0.0003466632,0.00007008786,0.000181577,0.0008977133,0.0001327532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002217936,0.00002951731,0.001631413,0.0003184615,0.00004368945,0.00026252,0.0002214643,0.03559983,0.003142734,0.0595744,0.5766454,0.3223087],"study_design_scores_gemma":[0.0000416159,0.00005042738,0.002063225,0.0002150457,0.00002806623,0.0001555208,0.0002186988,0.1192985,0.003080993,0.0198272,0.8549485,0.00007213992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01345813,0.05955385,0.4063105,0.02997817,0.007209992,0.0003089021,0.008917169,0.00590592,0.4683574],"genre_scores_gemma":[0.1471551,0.02899433,0.06713353,0.001540316,0.001119969,0.0001756266,0.003690247,0.0008685514,0.7493222],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4759748,"threshold_uncertainty_score":0.9464086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0232911674560649,"score_gpt":0.212794764437665,"score_spread":0.1895035969816,"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."}}