{"id":"W4307412750","doi":"10.1063/5.0106143","title":"Applications of non-linear acoustics for quality control and material characterization","year":2022,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Acoustics; Nonlinear acoustics; Characterization (materials science); Nonlinear system; Reflection (computer programming); Materials science; Attenuation; Quality (philosophy); Nondestructive testing; Optics; Ultrasonic sensor; Computer science; Physics","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":[0.001568987,0.0008272196,0.0005460248,0.001482971,0.0003995319,0.001105177,0.0007842507,0.0009232958,0.003344048],"category_scores_gemma":[0.002213575,0.0004062676,0.0003561233,0.001310672,0.001393691,0.001279702,0.001378789,0.001140907,0.0012643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009469588,"about_ca_system_score_gemma":0.000675221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008968624,"about_ca_topic_score_gemma":0.0008564415,"domain_scores_codex":[0.9982066,0.0002647163,0.00006229126,0.0002615312,0.001151724,0.00005309798],"domain_scores_gemma":[0.9979911,0.0009013461,0.0002667364,0.0001790566,0.000609167,0.00005264602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003175272,0.0001545765,0.003939304,0.002104618,0.00008289662,0.0003557495,0.0005561184,0.01363344,0.4527971,0.05507692,0.00515609,0.4658256],"study_design_scores_gemma":[0.0001073127,0.000835903,0.007215569,0.0005968167,0.0001386521,0.001540547,0.000642909,0.2615695,0.4490321,0.0656458,0.2123594,0.0003155449],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03327946,0.07456201,0.846237,0.00286401,0.0009312712,0.0002483419,0.0003075919,0.00154146,0.04002884],"genre_scores_gemma":[0.5347139,0.04969427,0.3964503,0.001272386,0.001022359,0.0003900507,0.0003616549,0.0002605596,0.01583447],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003344048,"threshold_uncertainty_score":0.01118702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007821538560887301,"score_gpt":0.2307960877580974,"score_spread":0.2229745491972101,"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."}}