{"id":"W2099233547","doi":"10.1109/milcom.2004.1495148","title":"Arranging multiple-aperture MILSATCOM antennas to meet radio regulations","year":2005,"lang":"en","type":"article","venue":"","topic":"Antenna Design and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Directional antenna; Antenna (radio); Computer science; Conformal antenna; Aperture (computer memory); Communications satellite; Reconfigurable antenna; Omnidirectional antenna; Telecommunications; Electronic engineering; Electrical engineering; Satellite; Engineering; Slot antenna; Antenna efficiency; Aerospace engineering","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":[0.00005151947,0.0001243759,0.0001121711,0.0001099645,0.0000699132,0.00003275639,0.00008726436,0.0000645583,0.0001725029],"category_scores_gemma":[0.00004072368,0.0001150015,0.00004812237,0.0002293045,0.000008866678,0.0001720709,0.000010154,0.00005039016,0.0001282854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005369366,"about_ca_system_score_gemma":0.000005203558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005731003,"about_ca_topic_score_gemma":0.00008578131,"domain_scores_codex":[0.999401,0.000008615479,0.0001541349,0.0001276213,0.00009310716,0.0002155657],"domain_scores_gemma":[0.9996336,0.00005596552,0.000009021499,0.000170888,0.00003213148,0.000098413],"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":[0.00001192941,0.00002311119,0.0009928041,0.00001577252,0.00004114865,0.000003192479,0.00128347,0.8907982,0.06039895,0.002600352,0.03983261,0.003998477],"study_design_scores_gemma":[0.0002299325,0.000006968378,0.001085427,0.00001819411,0.000006893593,0.000005517459,0.0001012414,0.9703527,0.001032608,0.00001688127,0.02696169,0.0001819182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007652536,0.0002043812,0.9773173,0.001691869,0.0001445651,0.0002025037,0.000005605713,0.000754261,0.01202701],"genre_scores_gemma":[0.9142649,0.00002100915,0.08257833,0.0007286104,0.0001767307,0.00001125105,0.00001490096,0.00003524447,0.00216901],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9066124,"threshold_uncertainty_score":0.4689624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009042544766745547,"score_gpt":0.1967099265317166,"score_spread":0.1876673817649711,"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."}}