{"id":"W4401537849","doi":"10.1109/infocomwkshps61880.2024.10620714","title":"Holistic Optimization of Rate and EE in UAV-Assisted HetNets","year":2024,"lang":"en","type":"article","venue":"","topic":"Machine Learning and ELM","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science","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":[0.0001750606,0.00003790805,0.00005746869,0.00008602459,0.00001290361,0.00006964058,0.00009058673,0.00001812996,0.00002024538],"category_scores_gemma":[0.00003232314,0.00003053413,0.000009024754,0.0002523943,0.00001101624,0.0001066679,0.00005253837,0.00004225325,0.000005840636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005749481,"about_ca_system_score_gemma":0.00001549421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001028921,"about_ca_topic_score_gemma":0.00001426633,"domain_scores_codex":[0.9996248,0.00003983469,0.00008848213,0.0001324173,0.00004915186,0.00006529837],"domain_scores_gemma":[0.9998012,0.00005824562,0.00001201439,0.00009829469,0.00001096055,0.00001934985],"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":[0.00001035788,0.00009846324,0.003516968,0.0003270747,0.00002264569,0.00008892477,0.00253698,0.4485709,0.0007986441,0.1718246,0.002237339,0.369967],"study_design_scores_gemma":[0.00007969422,0.00001973472,0.01204348,0.00002877803,0.000001262192,0.000006338069,0.000005319723,0.9868176,0.00004992583,0.0004239255,0.0004854898,0.00003843608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05237444,0.0002558777,0.9365037,0.001262915,0.000167071,0.00004306398,3.568796e-7,0.0001346459,0.009257915],"genre_scores_gemma":[0.9748861,0.00001369991,0.02388147,0.00006018565,0.000009167742,0.000001221355,0.000001035454,0.000002512313,0.001144619],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9225116,"threshold_uncertainty_score":0.1245146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01900111973606956,"score_gpt":0.2787117946618176,"score_spread":0.2597106749257481,"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."}}