{"id":"W3130179569","doi":"10.1109/ieeeconf35879.2020.9330377","title":"Fast Source Reconstruction Method in Near-Field to Far-Field Transformation Algorithm","year":2020,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Compatibility and Measurements","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Gaussian quadrature; Discretization; Algorithm; Adaptive quadrature; Numerical integration; Transformation matrix; Iterative method; Transformation (genetics); Gaussian elimination; Lookup table; Computer science; Gaussian; Nyström method; Mathematics; Field (mathematics); Integral equation; Mathematical analysis; Physics; Control theory (sociology)","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":[0.000145439,0.00009158988,0.0001216732,0.00004306242,0.00002615874,0.00002847884,0.00007295486,0.00006347516,0.0002842121],"category_scores_gemma":[0.00004224508,0.00009866088,0.00003229699,0.0002500796,0.000002912487,0.0001151486,0.00000696765,0.0001729854,0.00003832281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003399897,"about_ca_system_score_gemma":0.00001213246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001371373,"about_ca_topic_score_gemma":0.000246576,"domain_scores_codex":[0.9993321,0.0000281509,0.0002198226,0.0001301734,0.000118768,0.0001709715],"domain_scores_gemma":[0.9997459,0.00004477339,0.000008687342,0.00008614593,0.00001937991,0.00009512073],"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":[0.00001232829,0.000007373777,0.0001245982,0.00002890829,0.000006886401,3.475798e-7,0.002176523,0.006643165,0.01236586,0.00002668536,0.0002863514,0.978321],"study_design_scores_gemma":[0.0005163282,0.0004735111,0.0007161761,0.00002741634,0.00001031765,0.000009084331,0.0005661994,0.8184087,0.1710651,0.0001177223,0.007856451,0.0002329899],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1087727,0.00002284943,0.8795242,0.001603314,0.0001120694,0.0002171726,8.159179e-7,0.0001821345,0.009564818],"genre_scores_gemma":[0.8355362,0.00001523451,0.1623256,0.001941707,0.00006858925,0.0000260562,0.000003386779,0.00001759986,0.0000656076],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.978088,"threshold_uncertainty_score":0.4023274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01469328438709167,"score_gpt":0.2328295715015712,"score_spread":0.2181362871144795,"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."}}