{"id":"W4309994362","doi":"10.23919/amta55213.2022.9955001","title":"Methodology and Practical Considerations for the Implementation of the Three-Antenna Method in a Spherical Near-Field Range","year":2022,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Compatibility and Measurements","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Space Agency; University of Waterloo","funders":"","keywords":"Range (aeronautics); Computer science; Antenna (radio); Near and far field; Antenna measurement; Field (mathematics); Physics; Telecommunications; Optics; Aerospace engineering; Engineering; Mathematics","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":[0.001072382,0.00004547567,0.00009573651,0.00001011427,0.0001184889,0.000009301036,0.00003254403,0.00001579182,0.0005287269],"category_scores_gemma":[0.0003685007,0.00002976771,0.00003050556,0.00009267014,0.00002265425,0.00002354228,0.00004188604,0.0001395783,9.554595e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002203027,"about_ca_system_score_gemma":0.00004550268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004263273,"about_ca_topic_score_gemma":0.006123738,"domain_scores_codex":[0.999303,0.0002514614,0.000168676,0.00007929434,0.00009469401,0.0001028108],"domain_scores_gemma":[0.9967041,0.003125279,0.00002119567,0.0001172787,0.00002035109,0.000011795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007621522,0.0006518419,0.1283521,0.0004251263,0.0009366042,0.00001251858,0.02455457,0.01866276,0.4573492,0.1639312,0.02131516,0.1830468],"study_design_scores_gemma":[0.004525253,0.001471899,0.2265829,0.000009044917,0.0003174857,0.0002206099,0.009208429,0.6371271,0.03627547,0.07921946,0.004677122,0.0003652078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2465979,0.0002268963,0.741549,0.0100872,0.000181271,0.001082921,0.000007304735,0.00002498926,0.0002425487],"genre_scores_gemma":[0.8565295,0.000003870092,0.1429266,0.0003462753,0.000007259126,0.000172594,4.288424e-7,0.000004687441,0.000008769186],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6184644,"threshold_uncertainty_score":0.5789189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1315771008720944,"score_gpt":0.3824587626005483,"score_spread":0.2508816617284538,"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."}}