{"id":"W2981864008","doi":"10.1002/ett.3750","title":"Device‐centric communication in IoT: An energy efficiency perspective","year":2019,"lang":"en","type":"article","venue":"Transactions on Emerging Telecommunications Technologies","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Thompson Rivers University","funders":"","keywords":"Computer science; Efficient energy use; Computer network; Wireless; Resource efficiency; Energy consumption; Distributed computing; Telecommunications; Engineering; Electrical engineering","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":[0.0006783695,0.0008027729,0.0005684941,0.0006611837,0.0004355608,0.001948071,0.0009902267,0.001029385,0.002668657],"category_scores_gemma":[0.0008925564,0.0002811964,0.0004808563,0.001398853,0.0008544172,0.002428784,0.0008942918,0.00106026,0.0004253251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008622693,"about_ca_system_score_gemma":0.0006906333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001661104,"about_ca_topic_score_gemma":0.00115812,"domain_scores_codex":[0.9995327,0.000136281,0.0000213462,0.00005829526,0.0001869998,0.00006445312],"domain_scores_gemma":[0.9995314,0.0002423878,0.00004802925,0.00005270621,0.0001030973,0.00002249186],"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":[0.00007001623,0.0001280479,0.001955411,0.0007257711,0.0001231026,0.0003215688,0.0001176356,0.4689832,0.009792224,0.3921529,0.006074179,0.1195559],"study_design_scores_gemma":[0.00001515299,0.0001999627,0.001206398,0.0002116834,0.00005990289,0.0004419025,0.0002474844,0.8283449,0.005613631,0.1188438,0.04477122,0.00004401311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04001134,0.06347381,0.7972004,0.004993074,0.00103234,0.0001357439,0.0002047609,0.0003008855,0.09264758],"genre_scores_gemma":[0.8850417,0.03421269,0.06770749,0.0005313585,0.0005613032,0.0001493325,0.0001870177,0.00007426255,0.01153484],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002668657,"threshold_uncertainty_score":0.008927524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01002997181634854,"score_gpt":0.2529886654654045,"score_spread":0.242958693649056,"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."}}