{"id":"W7125980066","doi":"10.1109/wcsp68525.2025.1010443","title":"Adaptive Resource Provisioning in Satellite Networks via VAE-Assisted Contextual Bandit Learning","year":2025,"lang":"","type":"article","venue":"","topic":"Satellite Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Provisioning; Resource (disambiguation); Robustness (evolution); Autoencoder; Satellite; Benchmark (surveying); Scheme (mathematics); Resource allocation","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":[0.0006993228,0.0005091755,0.0007376654,0.0002501097,0.0003556549,0.0005877839,0.0008716418,0.0006984896,0.0007566866],"category_scores_gemma":[0.002376898,0.0003021447,0.0002999033,0.0003229811,0.0007262695,0.0009654729,0.0009237622,0.0008115085,0.0001261791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005928893,"about_ca_system_score_gemma":0.0007229373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006480811,"about_ca_topic_score_gemma":0.00632269,"domain_scores_codex":[0.9996297,0.00009415607,0.00001736738,0.000096267,0.00007072189,0.00009178078],"domain_scores_gemma":[0.9992349,0.0004270148,0.00009761209,0.00005448778,0.0001370588,0.00004895818],"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":[0.00005569556,0.00002751677,0.0007446645,0.00002255136,0.00002047792,0.00003718501,0.00003636015,0.9703925,0.001712812,0.003360721,0.0003245632,0.02326507],"study_design_scores_gemma":[0.000001577841,0.000008525123,0.0000449351,0.000001297203,0.000002221007,0.00000412009,0.000002882108,0.9990562,0.0002259434,0.0005979154,0.00005298078,0.000001413624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07474048,0.0004146887,0.9222775,0.0002037529,0.00004904123,0.0000294089,0.0000395385,0.0002801122,0.001965519],"genre_scores_gemma":[0.97508,0.0001163812,0.02394902,0.00008999516,0.00002527316,0.00002738901,0.00004015727,0.00001594221,0.0006559571],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006480811,"threshold_uncertainty_score":0.01288617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01863979600502424,"score_gpt":0.2490222014927773,"score_spread":0.2303824054877531,"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."}}