{"id":"W2022601383","doi":"10.1109/globalsip.2014.7032088","title":"Device-to-device cluster assisted downlink video sharing &amp;#x2014; A base station energy saving approach","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Telecommunications link; Base station; Computer science; Energy consumption; Computer network; Real-time computing; Cellular network; Merge (version control); Cluster (spacecraft); Transmission (telecommunications); Telecommunications; Electrical engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003739219,0.0002970689,0.0002971832,0.0002531172,0.0001066173,0.0001211475,0.0002329516,0.0001471531,0.0000748841],"category_scores_gemma":[0.0001452345,0.0003028445,0.00006101809,0.000462461,0.00001082999,0.000515765,0.00008997844,0.000145349,0.0001718021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002263704,"about_ca_system_score_gemma":0.00001203367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002285367,"about_ca_topic_score_gemma":0.0007856513,"domain_scores_codex":[0.9983231,0.00006806978,0.000518672,0.0004614478,0.0002169589,0.0004116897],"domain_scores_gemma":[0.9989135,0.0001338979,0.00008362863,0.0005341517,0.0001401935,0.0001945738],"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":[0.000009947851,0.00001966927,0.000179057,0.0001725942,0.00002848004,2.563396e-7,0.0002868615,0.9789203,0.009846305,0.0008656948,0.0007730142,0.008897768],"study_design_scores_gemma":[0.0005659606,0.00001536991,0.0004512173,0.0001057601,0.00002794021,0.00001105656,0.00009322455,0.9755385,0.0009202119,0.0000660033,0.02171796,0.0004867821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006504183,0.00005723781,0.9720508,0.00005132399,0.0002572445,0.0002959244,0.00000563529,0.0009075391,0.0198701],"genre_scores_gemma":[0.6535853,0.000006449299,0.343574,0.0004383392,0.0002216872,0.0001293788,0.0001909629,0.0001096011,0.001744269],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6470811,"threshold_uncertainty_score":0.9999424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02087906121965685,"score_gpt":0.2406182142203012,"score_spread":0.2197391530006444,"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."}}