{"id":"W2847095604","doi":"10.1155/2018/7287641","title":"IoT‐Based Management Platform for Real‐Time Spectrum and Energy Optimization of Broadcasting Networks","year":2018,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mitel (Canada)","funders":"Bijzonder Onderzoeksfonds UGent; Universiteit Gent","keywords":"Computer science; White spaces; Broadcasting (networking); Benchmark (surveying); Computer network; Telecommunications; Wireless; Efficient energy use; Energy consumption; Effective radiated power; Ultra high frequency; Power management; Fading; Spectrum management; Power (physics); Cognitive radio; Electrical engineering; Channel (broadcasting)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000260499,0.0003325054,0.0002718183,0.0002257241,0.0003793569,0.0005591937,0.0006755184,0.0002935329,0.0023017],"category_scores_gemma":[0.0003192206,0.0001487372,0.000197953,0.0001688246,0.0002153683,0.000617343,0.0004134049,0.0003832536,0.0003790643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003875522,"about_ca_system_score_gemma":0.0004310558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008650754,"about_ca_topic_score_gemma":0.0008392748,"domain_scores_codex":[0.999868,0.00001629047,0.000005995083,0.00001753878,0.00006793012,0.00002416433],"domain_scores_gemma":[0.9998639,0.00002345985,0.00002005166,0.00002529353,0.00004145741,0.00002589775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000772566,0.001040923,0.005314928,0.0002009639,0.0001091945,0.0006251205,0.0002881918,0.3221479,0.3978368,0.0437693,0.0111057,0.2167884],"study_design_scores_gemma":[0.00006078917,0.000289736,0.001513806,0.00001236903,0.00004038999,0.0001198654,0.00003806407,0.9189841,0.06270204,0.003284663,0.01293111,0.00002296152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2950546,0.0002892057,0.6593684,0.0004480114,0.0002111033,0.000325381,0.0001664302,0.004768976,0.03936791],"genre_scores_gemma":[0.9215459,0.0001210354,0.07099274,0.00008116387,0.00003812875,0.0001780673,0.0002463749,0.00012317,0.006673488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0023017,"threshold_uncertainty_score":0.007699907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01323002716153342,"score_gpt":0.2451101674809796,"score_spread":0.2318801403194462,"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."}}