{"id":"W1997392592","doi":"10.1002/ett.4460120412","title":"Using array signal processing to improve rural area coverage for satellite communications services","year":2001,"lang":"en","type":"article","venue":"European Transactions on Telecommunications","topic":"Satellite Communication Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nokia (Canada); Queen's University","funders":"","keywords":"Reflector (photography); Payload (computing); Geostationary orbit; Computer science; Interference (communication); Communications satellite; Electronic engineering; Automatic gain control; Antenna (radio); Parabolic antenna; Satellite; Signal processing; Antenna array; Telecommunications; Engineering; Digital signal processing; Optics; Physics; Aerospace engineering; Computer network","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005598865,0.0003886062,0.0003284554,0.0004185556,0.001253648,0.0002908796,0.002483725,0.00009019802,0.00007372284],"category_scores_gemma":[0.00000966285,0.00044675,0.0002029438,0.0009589464,0.0001101,0.0004645144,0.00004461754,0.0005458884,0.0002688965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002784462,"about_ca_system_score_gemma":0.00004684952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003964403,"about_ca_topic_score_gemma":0.0001770661,"domain_scores_codex":[0.9977604,0.0004067583,0.0008315054,0.0002995945,0.0002154328,0.0004863577],"domain_scores_gemma":[0.9951212,0.0004324946,0.0001540717,0.003753775,0.0002935057,0.0002449966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008730168,0.0006730384,0.0003161638,0.0002702305,0.0002981005,0.000001637688,0.006622274,0.07019596,0.1001341,0.0002904222,0.00005846112,0.8210524],"study_design_scores_gemma":[0.001435452,0.0001940932,0.001745394,0.0007492431,0.000202483,0.00008016168,0.003127145,0.1037047,0.006942259,0.000181933,0.8801455,0.001491537],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006505229,0.005280362,0.9416738,0.0008500538,0.0001956344,0.001646104,0.0002262661,0.001376622,0.04224592],"genre_scores_gemma":[0.9271861,0.006565248,0.06479944,0.000336934,0.00006312445,0.0003150188,0.0001786421,0.0001988141,0.0003566911],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9206809,"threshold_uncertainty_score":0.9997984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04858372184357386,"score_gpt":0.2802061869938275,"score_spread":0.2316224651502536,"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."}}