{"id":"W4385387357","doi":"10.58286/28130","title":"Automated misalignment correction method for ultrasonic inspection of CFRP parts","year":2023,"lang":"en","type":"article","venue":"Research and Review Journal of Nondestructive Testing","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Position (finance); Computer science; Ultrasonic sensor; Process (computing); Component (thermodynamics); Path (computing); Computer vision; Planar; Orientation (vector space); Artificial intelligence; Acoustics; Computer graphics (images); Mathematics; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004446022,0.0006106994,0.0005729377,0.00121073,0.0002448855,0.0003854715,0.0009788022,0.0007162794,0.0008441046],"category_scores_gemma":[0.001439042,0.0003640877,0.0002657566,0.0008148082,0.000478124,0.0005355554,0.0002748564,0.0004743026,0.000586804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003703478,"about_ca_system_score_gemma":0.000441982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001433975,"about_ca_topic_score_gemma":0.001269558,"domain_scores_codex":[0.998924,0.0001049647,0.00003475344,0.0002204781,0.0006774567,0.00003840049],"domain_scores_gemma":[0.9989064,0.0003065472,0.0002048796,0.0001462488,0.0004156655,0.00002019863],"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":[0.0001173809,0.00005141147,0.001216162,0.0003631315,0.00002782058,0.0001549466,0.000156886,0.008730462,0.2963327,0.00136805,0.001687228,0.6897939],"study_design_scores_gemma":[0.00004138818,0.0006420964,0.01510786,0.00008854092,0.000131285,0.002491165,0.0001078056,0.3087103,0.6378417,0.001674549,0.03298587,0.0001774593],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02642913,0.003117396,0.9672086,0.00006349426,0.0001242078,0.00006899208,0.00004080794,0.001381433,0.001566028],"genre_scores_gemma":[0.3702812,0.002526,0.6221137,0.0001097376,0.0001136128,0.0001027734,0.0001765981,0.0001542924,0.00442209],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001433975,"threshold_uncertainty_score":0.002851248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1093800522486721,"score_gpt":0.4210941022199765,"score_spread":0.3117140499713044,"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."}}