{"id":"W4384927177","doi":"10.1016/j.ndteint.2023.102917","title":"On the use of a linear array EMAT for remote thickness gauging using the reflected modes on a steel pipe","year":2023,"lang":"en","type":"article","venue":"NDT & E International","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Electromagnetic acoustic transducer; Acoustics; Transducer; Wavenumber; Guided wave testing; Cutoff frequency; Filter (signal processing); Wavelength; Finite element method; Materials science; Cutoff; Optics; Engineering; Structural engineering; Ultrasonic testing; Physics; Ultrasonic sensor; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003845572,0.0004110092,0.0003018956,0.0002889892,0.0002796756,0.0003959751,0.000811982,0.0005272977,0.002912317],"category_scores_gemma":[0.0005551597,0.0003064998,0.0002781328,0.0002471775,0.0003207355,0.0006927457,0.0004675675,0.000302117,0.0008480953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002091145,"about_ca_system_score_gemma":0.0002742668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008270635,"about_ca_topic_score_gemma":0.001590297,"domain_scores_codex":[0.9997117,0.00007933554,0.000009453418,0.00006350997,0.0001170412,0.00001894213],"domain_scores_gemma":[0.9996223,0.000135753,0.00003919182,0.00007508017,0.0001104527,0.00001711999],"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":[0.0008025952,0.00008156083,0.004221281,0.0001239465,0.00004610381,0.0003614127,0.0002286514,0.004869546,0.9069298,0.001563686,0.000827337,0.07994413],"study_design_scores_gemma":[0.00008417094,0.001885936,0.01801606,0.00003885618,0.000158946,0.001029376,0.0002159858,0.1182173,0.848448,0.0005838227,0.01122109,0.0001005558],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.54619,0.0003196718,0.4367994,0.0004240331,0.000154479,0.0001729044,0.0002416315,0.001884222,0.01381376],"genre_scores_gemma":[0.8153045,0.0001600389,0.1752315,0.0001448664,0.00004146952,0.00004257684,0.000116851,0.0000962894,0.008861824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002912317,"threshold_uncertainty_score":0.009742677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1014245389625195,"score_gpt":0.3021907526477799,"score_spread":0.2007662136852604,"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."}}