{"id":"W3196000417","doi":"","title":"Energy efficiency maximization in the uplink Delta-OMA networks","year":2021,"lang":"en","type":"article","venue":"University of Oulu Repository (University of Oulu)","topic":"Satellite Communication Systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Telecommunications link; Maximization; Efficient energy use; Computer science; Energy (signal processing); Delta; Computer network; Engineering; Economics; Electrical engineering; Physics; Aerospace engineering; Microeconomics","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":[0.000792893,0.0004980034,0.0007117148,0.0002882204,0.0002589365,0.0009176959,0.0005442029,0.0004851112,0.001067187],"category_scores_gemma":[0.001190032,0.0003041971,0.0003221977,0.0006486455,0.0005191809,0.000677384,0.0006844844,0.0005133254,0.0001742857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007292879,"about_ca_system_score_gemma":0.0006783812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002325565,"about_ca_topic_score_gemma":0.00208478,"domain_scores_codex":[0.9995913,0.0002272958,0.00000811625,0.00003990819,0.00006957657,0.00006382063],"domain_scores_gemma":[0.9995688,0.0002790359,0.00005803321,0.00001779603,0.00005588888,0.00002051493],"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":[0.00005817874,0.00002546078,0.0005289695,0.00004771612,0.00002015476,0.00008006438,0.00002091893,0.9692839,0.001973575,0.01647909,0.0004940297,0.01098795],"study_design_scores_gemma":[0.000002607621,0.00001108517,0.00009020836,0.000002818284,0.000002373449,0.000009997567,0.000009256039,0.9970466,0.0003267029,0.00230965,0.0001868735,0.000001647771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1433845,0.001234404,0.8432244,0.0003946382,0.00003910318,0.00003565135,0.00009817402,0.0001141418,0.01147499],"genre_scores_gemma":[0.9596695,0.0005753015,0.0371677,0.00005698044,0.00001661009,0.0000410963,0.00003873423,0.00002534547,0.002408737],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002325565,"threshold_uncertainty_score":0.005291402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009335039458598602,"score_gpt":0.1584182294144911,"score_spread":0.1490831899558925,"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."}}