{"id":"W3012139711","doi":"10.1007/s10921-020-00673-6","title":"Finite Element Modelling of a Reflection Differential Split-D Eddy Current Probe Scanning Surface Notches","year":2020,"lang":"en","type":"article","venue":"Journal of Nondestructive Evaluation","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"John Abbott College; Concordia University; École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; Consortium de Recherche et d’innovation en Aérospatiale au Québec; National Research Council Canada; Pratt and Whitney Canada; CMC Microsystems","keywords":"Multiphysics; Finite element method; Eddy current; Acoustics; Materials science; Electromagnetic coil; Eddy-current testing; Mechanics; Physics; Structural engineering; Engineering; Electrical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003649293,0.0004696285,0.0004551519,0.0005165765,0.0002250759,0.0008089974,0.0009101158,0.001641617,0.002669386],"category_scores_gemma":[0.0007134964,0.0003836541,0.0006413595,0.0003249698,0.0005106269,0.0004333513,0.0004308759,0.0003527897,0.0006910181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000375405,"about_ca_system_score_gemma":0.0006784018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002276352,"about_ca_topic_score_gemma":0.001651608,"domain_scores_codex":[0.9997637,0.00005009916,0.0000135463,0.00004476407,0.0001072079,0.00002056942],"domain_scores_gemma":[0.9996905,0.0001402438,0.00003969771,0.00003357221,0.0000792676,0.00001671868],"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":[0.00004758919,0.00003009696,0.0008480391,0.00009350198,0.00001673788,0.0001874601,0.0001686654,0.9692765,0.01719175,0.002413081,0.0002961839,0.009430329],"study_design_scores_gemma":[0.000005159876,0.00004226369,0.000328642,0.00001260071,0.000006703146,0.00005932401,0.00004069269,0.9948822,0.002838096,0.0003126837,0.001463077,0.000008525139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1514875,0.000321426,0.8285546,0.0002344252,0.00006129547,0.0001323586,0.0005739467,0.000930569,0.01770381],"genre_scores_gemma":[0.8795285,0.0003292733,0.1075075,0.00007273405,0.00000953912,0.0002865024,0.0004874165,0.00009787473,0.01168073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002669386,"threshold_uncertainty_score":0.008930027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1195639663704577,"score_gpt":0.3323954955375339,"score_spread":0.2128315291670763,"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."}}