{"id":"W1492235326","doi":"10.1109/icupc.1996.557954","title":"Parabolic reflector array signal processing for improved rural area coverage in personal satellite communications","year":2002,"lang":"en","type":"article","venue":"Proceedings of ICUPC - 5th International Conference on Universal Personal Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Beamforming; Reflector (photography); Geostationary orbit; Smart antenna; Computer science; Phased array; Code division multiple access; Antenna (radio); Antenna array; Communications satellite; Satellite; Array gain; Periscope antenna; Electronic engineering; Signal processing; Telecommunications; Engineering; Omnidirectional antenna; Digital signal processing; Optics; Physics; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001792722,0.0003896479,0.0002253203,0.00028411,0.0001794977,0.0002559147,0.0003042548,0.0003305429,0.00226489],"category_scores_gemma":[0.000530833,0.0001461736,0.0002126459,0.0004609861,0.0001859236,0.0003960627,0.0002368208,0.0002421973,0.0006776865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002138722,"about_ca_system_score_gemma":0.0001768746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006960164,"about_ca_topic_score_gemma":0.001690048,"domain_scores_codex":[0.999816,0.00004968775,0.000004150801,0.00002600744,0.00008108307,0.00002315339],"domain_scores_gemma":[0.9998331,0.00008274153,0.0000232191,0.00001745824,0.00003729332,0.000006150596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003757413,0.00008998619,0.001447872,0.0001116299,0.00005028175,0.0001468504,0.000170015,0.0930356,0.4405189,0.005104112,0.001375221,0.457574],"study_design_scores_gemma":[0.00006957243,0.001068025,0.004096577,0.00002041888,0.00008570403,0.000532467,0.0001444814,0.7614545,0.2130895,0.004188037,0.01521092,0.00003974604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09668692,0.0005851903,0.897499,0.0001583075,0.00002615307,0.00003106679,0.0000529886,0.0006201997,0.004340267],"genre_scores_gemma":[0.5728668,0.0009182114,0.4183428,0.000100445,0.0001078141,0.0000589151,0.0001972267,0.0001063832,0.007301432],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00226489,"threshold_uncertainty_score":0.007576823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.128559328656666,"score_gpt":0.3467456672562516,"score_spread":0.2181863385995856,"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."}}