{"id":"W1955567864","doi":"10.1109/aps.2015.7304416","title":"Cloaking exploiting anisotropic adjoint sensitivity analysis","year":2015,"lang":"en","type":"article","venue":"","topic":"Metamaterials and Metasurfaces Applications","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Cloaking; Wideband; Cloak; Sensitivity (control systems); Anisotropy; Computer science; Function (biology); Constitutive equation; Variable (mathematics); Tensor (intrinsic definition); Applied mathematics; Metamaterial; Algorithm; Acoustics; Mathematical analysis; Mathematics; Electronic engineering; Physics; Optics; Geometry; Finite element method; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000494275,0.0005161793,0.0003262799,0.0004071927,0.0002699186,0.0006280408,0.0004765926,0.0006532528,0.001218197],"category_scores_gemma":[0.0011143,0.0002559083,0.0004486581,0.0002203823,0.0006616205,0.0005387417,0.0007384532,0.0005749632,0.0002598916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003532208,"about_ca_system_score_gemma":0.0004092638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008397627,"about_ca_topic_score_gemma":0.0009360928,"domain_scores_codex":[0.9997246,0.00008564194,0.000007154843,0.0000320468,0.0001263613,0.00002423938],"domain_scores_gemma":[0.9996659,0.0001689184,0.00003563554,0.00004886816,0.0000620896,0.0000186451],"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":[0.00009672373,0.00005995847,0.0006101805,0.0000889195,0.00004079344,0.0001791905,0.0001359831,0.6536498,0.1649446,0.136207,0.001010024,0.04297683],"study_design_scores_gemma":[0.000005101887,0.00001295152,0.00003838265,0.000003094731,0.000002964707,0.00003674305,0.000004490569,0.9852524,0.006695515,0.00681622,0.001124157,0.000007986196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008858403,0.00003148624,0.9882227,0.00004177965,0.0000128112,0.00001091118,0.00001028785,0.0001835876,0.002628142],"genre_scores_gemma":[0.5403384,0.0001040669,0.455319,0.0001115871,0.00002430887,0.00008520096,0.00004873442,0.0001925241,0.003776181],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001218197,"threshold_uncertainty_score":0.004075289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07458746876222169,"score_gpt":0.2927030623764444,"score_spread":0.2181155936142227,"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."}}