{"id":"W4406274229","doi":"10.1007/978-3-030-48200-8_7-2","title":"Multi-modal NDE Data Registration and Fusion for Enhanced Aircraft Safety","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Measurement and Detection Methods","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Modal; Sensor fusion; Flight safety; Computer science; Aeronautics; Artificial intelligence; Engineering; Materials science","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":[0.0003439494,0.000634738,0.0004851898,0.0009384433,0.0002272405,0.001162998,0.0008726818,0.0009574937,0.01561905],"category_scores_gemma":[0.000457884,0.0004824832,0.0004097279,0.001210911,0.0003971517,0.001756735,0.0008632729,0.001013732,0.01206107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003235796,"about_ca_system_score_gemma":0.0002518455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006651899,"about_ca_topic_score_gemma":0.00159958,"domain_scores_codex":[0.9997501,0.00001409996,0.000008676832,0.00004228164,0.0001730934,0.00001173391],"domain_scores_gemma":[0.9998224,0.00006421873,0.00001109578,0.000033097,0.00006381834,0.000005447675],"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":[0.00004940615,0.00004876168,0.0001361121,0.0004381142,0.00002682106,0.00006372551,0.00007004553,0.008624421,0.08291856,0.02146313,0.03487848,0.8512824],"study_design_scores_gemma":[0.00001200658,0.0001084795,0.001888306,0.0002352598,0.00004820976,0.0009834262,0.0001127681,0.1343533,0.1282019,0.04818067,0.685775,0.0001007613],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002277718,0.01403486,0.9324655,0.0005464993,0.000999909,0.00004475801,0.0004936115,0.001890452,0.04724655],"genre_scores_gemma":[0.04790579,0.02254807,0.6632946,0.0004426951,0.0007488508,0.00009247991,0.002411167,0.001003756,0.2615526],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01561905,"threshold_uncertainty_score":0.05225092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0680475262601953,"score_gpt":0.311837057566985,"score_spread":0.2437895313067897,"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."}}