{"id":"W2084669686","doi":"10.1108/03321641211209708","title":"NDT sensor design optimization for accurate crack reconstruction","year":2012,"lang":"en","type":"article","venue":"COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Nondestructive testing; Inverse problem; Eddy-current testing; Eddy current; Inverse; Shape optimization; Computer science; Mathematical optimization; Structural engineering; Engineering; Mathematics; Finite element method; Geometry; Physics; Mathematical analysis; Electrical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005065931,0.0001130719,0.000128971,0.000131036,0.00008157614,0.0001203767,0.0001016665,0.00004760162,0.000001935616],"category_scores_gemma":[0.0002138856,0.0001005568,0.00003437142,0.0000961746,0.00001461868,0.0001920129,0.00001428089,0.0002129493,2.018737e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001753121,"about_ca_system_score_gemma":0.00001742631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.089568e-7,"about_ca_topic_score_gemma":6.784968e-7,"domain_scores_codex":[0.9992732,0.00001303922,0.0002693651,0.00007649039,0.0001012664,0.0002666073],"domain_scores_gemma":[0.9990779,0.0006632151,0.00006757128,0.00003479071,0.0001086122,0.00004791769],"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":[0.0000494779,0.00006370914,0.000169101,0.0001359342,0.0001831295,7.688811e-7,0.0004807108,0.8889987,0.0050308,0.07649897,0.0002641699,0.02812454],"study_design_scores_gemma":[0.0003349232,0.00005323632,0.00006636237,0.00004705013,0.00001486853,0.0004156183,0.00001914945,0.9137108,0.0003895965,0.08476214,0.00007627707,0.0001099356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04636979,0.0004532261,0.9523216,0.00009995941,0.0003235196,0.0002966286,0.000001628282,0.0001023978,0.00003119318],"genre_scores_gemma":[0.3613153,0.0002686918,0.6381739,0.00001727057,0.0001550864,0.00003886152,0.000003572666,0.00002339077,0.00000402034],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3149455,"threshold_uncertainty_score":0.4100586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02701137555388497,"score_gpt":0.2796955184575132,"score_spread":0.2526841429036282,"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."}}