{"id":"W2592762818","doi":"","title":"Comparison between two aperture truncation mitigation schemes","year":2006,"lang":"en","type":"article","venue":"International Symposium on Antenna Technology and Applied Electromagnetics","topic":"Electromagnetic Scattering and Analysis","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Aperture (computer memory); Truncation (statistics); Planar; Computer science; Polarization (electrochemistry); Lossless compression; Isotropy; Optics; Mathematics; Algorithm; Physics; Acoustics; Data compression","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":[0.001244441,0.0005324716,0.0004437995,0.000545923,0.000505484,0.0005767915,0.0010363,0.0009269234,0.002094558],"category_scores_gemma":[0.00601297,0.0001783867,0.0004742454,0.0004405763,0.0003596355,0.0009681553,0.0008634132,0.0006634532,0.0005646002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005022573,"about_ca_system_score_gemma":0.0005851076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001648631,"about_ca_topic_score_gemma":0.002045235,"domain_scores_codex":[0.9992917,0.0001809448,0.00005786147,0.00006391892,0.0003215429,0.000083999],"domain_scores_gemma":[0.9962893,0.001707887,0.000222797,0.0008991511,0.0007513678,0.000129583],"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":[0.002935327,0.0004154525,0.004803988,0.0005232461,0.0002549987,0.0002440731,0.0004192587,0.3531407,0.115613,0.03013241,0.003956452,0.487561],"study_design_scores_gemma":[0.0001319808,0.0004689029,0.002302307,0.00005683851,0.0000720193,0.0003365074,0.00008744997,0.9181687,0.0684923,0.00356545,0.006261691,0.0000558657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1162759,0.001046699,0.8720269,0.0002967415,0.0002237813,0.0001154981,0.0000877382,0.001847234,0.008079513],"genre_scores_gemma":[0.5345283,0.0004863701,0.4610689,0.0001759012,0.00009172864,0.00006498929,0.0001953544,0.0002690353,0.003119354],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002094558,"threshold_uncertainty_score":0.007007003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00446324146583786,"score_gpt":0.2466323006117919,"score_spread":0.242169059145954,"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."}}