{"id":"W2922445782","doi":"10.1016/j.ultras.2019.03.006","title":"EMAT design for minimum remnant thickness gauging using high order shear horizontal modes","year":2019,"lang":"en","type":"article","venue":"Ultrasonics","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; Nvidia","keywords":"Electromagnetic acoustic transducer; Materials science; Acoustics; Ultrasonic sensor; Guided wave testing; Transducer; Multiphysics; Optics; Filter (signal processing); Finite element method; Ultrasonic testing; Structural engineering; Physics; 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":[0.0004395761,0.0007283533,0.0004189149,0.0004976485,0.0003936874,0.0008663677,0.00119372,0.0006723256,0.00381357],"category_scores_gemma":[0.0006033559,0.0002944441,0.0002947581,0.0002727079,0.0002681101,0.0007034024,0.0004655036,0.0003513837,0.001431967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006392889,"about_ca_system_score_gemma":0.0006034097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008753447,"about_ca_topic_score_gemma":0.001607861,"domain_scores_codex":[0.9996418,0.00005429243,0.000026644,0.0000985667,0.0001398399,0.00003892331],"domain_scores_gemma":[0.9993371,0.00008620723,0.0001610566,0.00004769541,0.0003449559,0.00002286038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001142831,0.0001931282,0.003174645,0.0006616305,0.0001105588,0.000159567,0.000263714,0.06807654,0.6284238,0.01898119,0.005747693,0.2730647],"study_design_scores_gemma":[0.0001066967,0.001095686,0.003443073,0.00007485759,0.0001475466,0.0003145566,0.0001242808,0.4880117,0.4687677,0.002943218,0.03489575,0.00007505446],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03623946,0.0001566966,0.9556016,0.0001096604,0.00005769379,0.00007744868,0.0001027274,0.0007955257,0.006859293],"genre_scores_gemma":[0.6972744,0.0001437813,0.2930966,0.0001705339,0.00005520893,0.0001684183,0.0001787937,0.0001508234,0.008761444],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00381357,"threshold_uncertainty_score":0.01275766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01732890280089261,"score_gpt":0.2227034864556606,"score_spread":0.205374583654768,"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."}}