{"id":"W2018647808","doi":"10.1109/tap.2014.2301180","title":"Quality Synthesis Based Robust Optimization for Electromagnetic Wave Absorbers Using Taguchi's Tolerance Design Method","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Antennas and Propagation","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Taguchi methods; Quality (philosophy); Computer science; Bandwidth (computing); Orthogonal array; Sensitivity (control systems); Optimal design; Design of experiments; Product design; Product (mathematics); Electronic engineering; Engineering; Mathematics; Telecommunications; Physics","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":[0.0004006605,0.0001845488,0.0002250043,0.0001348795,0.000192843,0.00003605992,0.00005409171,0.0001112774,0.0000131604],"category_scores_gemma":[0.00004253787,0.0001755394,0.00006656317,0.0001923984,0.00004449791,0.0001683202,3.709766e-7,0.0001263632,8.713985e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004953111,"about_ca_system_score_gemma":0.00001414798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007658762,"about_ca_topic_score_gemma":0.000006723722,"domain_scores_codex":[0.9990937,0.00009716591,0.0002431657,0.0002392976,0.0001029811,0.0002236862],"domain_scores_gemma":[0.9993397,0.0003141904,0.00006024629,0.0001661551,0.00007687783,0.00004283973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005633332,0.00001887798,6.027664e-7,0.00007530155,0.0000129098,1.582501e-7,0.00002308312,0.8108831,0.1349258,0.00004920211,0.00000228297,0.05395234],"study_design_scores_gemma":[0.000284885,0.000112972,0.00001483259,0.00004971998,0.00004125779,0.000003050611,0.00003789311,0.7832755,0.2157825,0.0002038146,0.00001870748,0.0001748799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01146612,0.00007568412,0.9872335,0.00008885312,0.0001664276,0.0004954324,0.00001482836,0.0004340662,0.00002508316],"genre_scores_gemma":[0.5462503,0.00007167369,0.4535241,0.00002750954,0.000008318443,0.00007942868,0.000001885426,0.00002375736,0.00001304461],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5347841,"threshold_uncertainty_score":0.7158288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05092525706361529,"score_gpt":0.2713461985186688,"score_spread":0.2204209414550535,"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."}}