{"id":"W1654434542","doi":"10.1063/1.2718074","title":"Comparison of the Structural Irregularity and Damage Evaluation Routine (SIDER) Inspection Method with Ultrasonic and Thermographic Inspections to Locate Impact Damage on an A320 Vertical Stabilizer","year":2007,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Advanced Measurement and Detection Methods","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Navy; Stiffness; Nondestructive testing; Ultrasonic sensor; Impact energy; Computer science; Ultrasonic testing; Structural engineering; Forensic engineering; Engineering; 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":[0.001095788,0.0002013532,0.000232729,0.0001662486,0.0001967335,0.00007000827,0.00009057334,0.00008385588,0.00001581515],"category_scores_gemma":[0.0001739379,0.0001402063,0.00003145628,0.0005461739,0.0001362511,0.0003484182,0.00002280244,0.0003198753,2.72065e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001128184,"about_ca_system_score_gemma":0.00002951075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004375624,"about_ca_topic_score_gemma":0.0002608917,"domain_scores_codex":[0.9988197,0.0000491076,0.0002552381,0.0002791688,0.0003648539,0.0002319202],"domain_scores_gemma":[0.9992315,0.00006983092,0.00005961054,0.0001408521,0.0003619237,0.0001363447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003025606,0.00004979847,0.5109041,0.00006410261,0.00006061368,1.548651e-7,0.004134259,0.002348501,0.4660584,0.00176009,0.000004865717,0.01431264],"study_design_scores_gemma":[0.0004711633,0.0004802838,0.7778201,0.0000464058,0.00007004309,0.000007077663,0.00120557,0.1479175,0.07061437,0.001202911,0.000004475693,0.0001601147],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.878939,0.00003293353,0.1200039,0.00004733885,0.00006979371,0.0004360303,0.000002239637,0.0001347995,0.0003340348],"genre_scores_gemma":[0.9922804,0.000005611083,0.007624308,0.00001585873,0.00003378272,0.00001522394,0.000001689996,0.00002075386,0.00000243037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.395444,"threshold_uncertainty_score":0.5717448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05666558495170503,"score_gpt":0.3682744287643835,"score_spread":0.3116088438126785,"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."}}