{"id":"W4388145767","doi":"10.1109/ojap.2023.3329356","title":"Electromagnetic Imaging System Calibration With 2-Port Error Models","year":2023,"lang":"en","type":"article","venue":"IEEE Open Journal of Antennas and Propagation","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Calibration; Computer science; Anechoic chamber; Port (circuit theory); USable; Scalar (mathematics); Electronic engineering; Mathematics; Engineering; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004276152,0.00009776266,0.0001858392,0.0001745401,0.00007733341,0.0002621232,0.0001233201,0.00001833393,0.000004381393],"category_scores_gemma":[0.000003619115,0.00007433878,0.00003080606,0.0002703149,0.00001870993,0.0006830038,0.00001140928,0.0001100813,0.00000249971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003113926,"about_ca_system_score_gemma":0.00002778295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002347749,"about_ca_topic_score_gemma":0.000005226428,"domain_scores_codex":[0.9993089,0.00003031306,0.0002827542,0.00009480757,0.0001419744,0.0001412717],"domain_scores_gemma":[0.9996204,0.00001153598,0.0001131214,0.00008777082,0.0001081808,0.00005901152],"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":[0.000192288,0.00003195911,0.00283709,0.0006436854,0.0003590066,0.0004550386,0.002148475,0.2364891,0.7234432,0.0002074895,0.008100989,0.02509169],"study_design_scores_gemma":[0.0003064897,0.00008614887,0.0005269598,0.0002697221,0.00006413497,0.0005095886,0.0003507439,0.9907507,0.006870985,0.0001003503,0.00004692216,0.0001172071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.857221,0.0003385706,0.140588,0.0004276376,0.0001847917,0.0001559087,0.00000283457,0.0001027851,0.0009784917],"genre_scores_gemma":[0.9987414,0.0000914882,0.0009366771,0.00001744116,0.000067443,0.000003409413,0.00000477768,0.00002132338,0.000116014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7542616,"threshold_uncertainty_score":0.3031448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01534933651536385,"score_gpt":0.2253372698724568,"score_spread":0.209987933357093,"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."}}