{"id":"W2559592688","doi":"10.1080/09349847.2016.1262485","title":"Optimization of Periodic Permanent Magnet Configuration in Lorentz-Force EMATs","year":2016,"lang":"en","type":"article","venue":"Research in Nondestructive Evaluation","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Magnet; Electromagnetic acoustic transducer; Transducer; Lorentz force; Planar; Acoustics; Curvature; Materials science; Lift (data mining); Amplitude; Optics; Physics; Magnetic field; Mechanical engineering; Ultrasonic sensor; Engineering; Geometry; Computer science; Mathematics","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":[0.0002357309,0.000459432,0.0002489385,0.0004038527,0.0001773715,0.0003799271,0.0003770943,0.0004403573,0.001331582],"category_scores_gemma":[0.0006769045,0.0002335156,0.0001405811,0.0003272693,0.0002178346,0.0003112306,0.0002218191,0.000142165,0.000369266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002013667,"about_ca_system_score_gemma":0.0002369156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002438456,"about_ca_topic_score_gemma":0.0005060509,"domain_scores_codex":[0.9998596,0.00002271326,0.00001177333,0.00003442738,0.00004492327,0.00002653622],"domain_scores_gemma":[0.99968,0.00007502094,0.00009594337,0.00003575005,0.00007957216,0.00003366394],"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":[0.001138721,0.0002072289,0.003218196,0.0004572821,0.00005153075,0.0003727968,0.0001044238,0.06004122,0.8739718,0.002376208,0.001104541,0.05695596],"study_design_scores_gemma":[0.0002934028,0.003254731,0.01171514,0.00004693745,0.0001733054,0.0006178326,0.0001931135,0.1999327,0.7741027,0.0008173186,0.008770949,0.00008199062],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539013,0.0004210387,0.03811638,0.0001402863,0.00006054084,0.00004627141,0.00009867619,0.0003040029,0.00691155],"genre_scores_gemma":[0.9858648,0.0001009197,0.01334454,0.00001315562,0.000006942125,0.0000227614,0.00004954847,0.00002215348,0.0005751474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001331582,"threshold_uncertainty_score":0.004454553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06183508298286296,"score_gpt":0.3463495950925328,"score_spread":0.2845145121096699,"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."}}