{"id":"W4386251125","doi":"10.1007/s10921-023-00988-0","title":"Automatic Air-Coupled Ultrasound Detection of Impact Damages in Fiber-Reinforced Composites Based on One-Dimension Deep Learning Models","year":2023,"lang":"en","type":"article","venue":"Journal of Nondestructive Evaluation","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Natural Science Foundation of China","keywords":"Robustness (evolution); Solid mechanics; Deep learning; Fiber-reinforced composite; Artificial neural network; Materials science; Ultrasound; Computer science; Artificial intelligence; Fiber; Composite material; Acoustics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001477258,0.0001566858,0.0002857661,0.0006790862,0.00005994967,0.00002544845,0.00007961255,0.00009351841,0.00006591048],"category_scores_gemma":[0.0005150805,0.0001461449,0.0001091048,0.0005988667,0.00002339961,0.0004351495,0.000007014347,0.0003303139,0.000007308632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004595784,"about_ca_system_score_gemma":0.00007290005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001396645,"about_ca_topic_score_gemma":0.000005074438,"domain_scores_codex":[0.9982417,0.0001633269,0.0005882885,0.0001071841,0.0007281523,0.0001713796],"domain_scores_gemma":[0.9984199,0.0005609304,0.0003990083,0.0001056724,0.0004639458,0.00005056281],"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":[0.0000446577,0.00001189932,0.000168348,0.00003386397,0.00002965098,9.531728e-7,0.0002011362,0.6193904,0.3732199,0.000004695635,0.000001099453,0.006893457],"study_design_scores_gemma":[0.00132782,0.0004191584,0.07071481,0.0002356229,0.00008674143,0.00001161963,0.0001451058,0.8821446,0.04365801,0.001140363,1.507419e-7,0.0001159559],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9517942,0.00003719729,0.04759877,0.00001106084,0.0001450178,0.0002677032,0.00000241775,0.00005196964,0.00009166163],"genre_scores_gemma":[0.9977612,0.00001871209,0.002105689,0.000003413685,0.00004723069,0.000006945158,0.00002508734,0.00002758822,0.000004062663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3295619,"threshold_uncertainty_score":0.5959615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02146437972202531,"score_gpt":0.2673949074154836,"score_spread":0.2459305276934583,"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."}}