{"id":"W3038385657","doi":"10.1109/jsac.2020.3005490","title":"3D Channel Tracking for UAV-Satellite Communications in Space-Air-Ground Integrated Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Engineering and Physical Sciences Research Council","keywords":"Computer science; Channel (broadcasting); Azimuth; Real-time computing; Trajectory; Probabilistic logic; Satellite; Algorithm; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003511531,0.0004510698,0.0004747818,0.0003153052,0.0004625976,0.0006812772,0.000663141,0.0005502231,0.001020614],"category_scores_gemma":[0.001693613,0.0003001753,0.0004969217,0.0006356497,0.000468966,0.0009824202,0.0008382598,0.0009251063,0.0003653688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006512031,"about_ca_system_score_gemma":0.001220739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009706748,"about_ca_topic_score_gemma":0.008511886,"domain_scores_codex":[0.9997281,0.00007629771,0.000009859999,0.00005210123,0.00008817664,0.00004541824],"domain_scores_gemma":[0.9995028,0.0002471083,0.00007221344,0.00006529642,0.00008356239,0.0000290522],"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":[0.00007599984,0.00001861568,0.001115552,0.00004307514,0.0000224053,0.00009541974,0.0000775868,0.9213065,0.003083776,0.01389946,0.00149222,0.05876937],"study_design_scores_gemma":[0.000001603288,0.000006967873,0.00005707188,0.000002130398,0.000002507224,0.00001738683,0.000004675957,0.9977655,0.0003023105,0.001594643,0.0002419466,0.000003190654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01315978,0.0002894799,0.9849341,0.0001497166,0.00004612648,0.00001175282,0.00005695046,0.0002835437,0.001068481],"genre_scores_gemma":[0.8341424,0.0009324988,0.1614379,0.0001883544,0.00007403994,0.00008120832,0.0002888689,0.00006030661,0.002794409],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009706748,"threshold_uncertainty_score":0.01930046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05121144210185821,"score_gpt":0.2812260356862205,"score_spread":0.2300145935843623,"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."}}