{"id":"W2158684744","doi":"10.1002/mop.26455","title":"Antenna modeling using space‐mapping corrected cauchy approximation surrogates","year":2011,"lang":"en","type":"article","venue":"Microwave and Optical Technology Letters","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Icelandic Centre for Research","keywords":"Cauchy distribution; Space mapping; Space (punctuation); Antenna (radio); Mathematics; Computer science; Telecommunications; Mathematical analysis; Algorithm","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001111524,0.0002491479,0.0002645479,0.0003904615,0.00008477141,0.00002829138,0.000130553,0.0002456836,0.000007274465],"category_scores_gemma":[0.00003880717,0.0002587893,0.00004966005,0.0003480222,0.0001490681,0.0001089643,0.00006520118,0.0003571902,0.00001268086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005258179,"about_ca_system_score_gemma":0.000005759151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000123196,"about_ca_topic_score_gemma":0.000003100577,"domain_scores_codex":[0.9989253,0.000009347634,0.000271524,0.0002774041,0.00006570838,0.00045068],"domain_scores_gemma":[0.9996302,0.00002063025,0.00002330197,0.0002174452,0.00003695952,0.00007144515],"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":[0.000003898082,0.00001113133,0.0004338023,0.00006071153,0.00005680569,0.00002177722,0.0003144255,0.002718423,0.9943229,0.001007992,0.00004180093,0.001006334],"study_design_scores_gemma":[0.0002455128,0.00001690582,0.00009138881,0.0001026226,0.00003182352,0.0001559805,0.0003191235,0.8142908,0.1837018,0.0006350211,0.00004788908,0.0003611503],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5789487,0.0003000127,0.4196427,0.0001146995,0.0001237754,0.00007658268,0.000001500799,0.0005472538,0.0002446756],"genre_scores_gemma":[0.922208,0.00005759611,0.07756167,0.00006965233,0.00003879207,0.000006874522,0.00000579846,0.00004586469,0.000005787089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8115723,"threshold_uncertainty_score":0.9999864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02322286202846098,"score_gpt":0.1925058328048918,"score_spread":0.1692829707764308,"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."}}