{"id":"W1917825521","doi":"10.1002/dac.2524","title":"Green cell association for multimedia transmission in cognitive heterogeneous networks","year":2013,"lang":"en","type":"article","venue":"International Journal of Communication Systems","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Energy consumption; Heterogeneous network; Throughput; Computer network; Transmission (telecommunications); Macro; Efficient energy use; Cognitive radio; Wireless network; Wireless; Multimedia; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.0004788197,0.0001135038,0.0002190633,0.0002390288,0.00002835837,0.00008204953,0.0004102644,0.0001240624,0.00001483349],"category_scores_gemma":[0.00007318003,0.0001138877,0.00008395311,0.0001057024,0.00001024016,0.0005032091,0.00001824627,0.00019623,0.000009213742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004324116,"about_ca_system_score_gemma":0.00001931442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007794127,"about_ca_topic_score_gemma":0.00001235361,"domain_scores_codex":[0.9985832,0.0001198177,0.0008210652,0.00007072931,0.0002714822,0.0001337203],"domain_scores_gemma":[0.9976181,0.0005382316,0.0005161268,0.0001256167,0.001143028,0.00005886023],"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":[0.00002561503,0.00004264115,0.0008879238,0.00001079084,0.00009437485,0.000001255655,0.0005149957,0.987731,0.0008804573,0.00002277006,0.0003544676,0.00943372],"study_design_scores_gemma":[0.001330866,0.00003678607,0.0004492275,0.0004002259,0.00001820934,0.00002105795,0.0003239004,0.9946198,0.0008614992,0.0001392328,0.001662378,0.0001368216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01903896,0.005912331,0.971735,0.0002393693,0.00123905,0.0008586511,0.00001613766,0.00005641183,0.0009040578],"genre_scores_gemma":[0.9950243,0.0008603736,0.003571362,0.00001876027,0.0001962801,0.00009301973,0.00004843788,0.00002882448,0.0001586494],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9759853,"threshold_uncertainty_score":0.4644204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270208515496697,"score_gpt":0.2590086493548855,"score_spread":0.2463065641999186,"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."}}