{"id":"W4411024777","doi":"10.58286/31372","title":"Advances in Automated Non-Destructive Testing for Aircraft Engine Components","year":2025,"lang":"en","type":"article","venue":"e-Journal of Nondestructive Testing","topic":"Advanced Measurement and Detection Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thinkpath Engineering Services (Canada)","funders":"","keywords":"Computer science; Engineering; Aeronautics; Reliability engineering; Systems engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006959193,0.0002612737,0.0004715261,0.000584387,0.0001152641,0.00003083619,0.0002017651,0.00008718402,0.000003300632],"category_scores_gemma":[0.002554875,0.000265682,0.00008665728,0.001206361,0.00005794542,0.0006982691,0.00002788513,0.0004397115,0.000001066796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003215778,"about_ca_system_score_gemma":0.00008580047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004606788,"about_ca_topic_score_gemma":0.00000383898,"domain_scores_codex":[0.9984096,0.00005294365,0.0007545996,0.0001952424,0.0002219858,0.0003656645],"domain_scores_gemma":[0.9976598,0.001195641,0.000296028,0.0001197274,0.0006491031,0.00007967371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001924936,0.00005942939,0.06033562,0.0004476644,0.0001127282,0.00003795704,0.0002347921,0.3394034,0.3659536,0.0001001953,0.00004851225,0.2330736],"study_design_scores_gemma":[0.007389552,0.0008401334,0.2491898,0.003399633,0.0001713701,0.0003824951,0.0008314907,0.6263399,0.06604598,0.0438607,0.0005137613,0.001035247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.597256,0.001063357,0.3947115,0.00001229039,0.001547957,0.0004086067,0.000006031524,0.0004211239,0.004573159],"genre_scores_gemma":[0.5195698,0.000009118211,0.480238,0.000008822244,0.0001255275,0.00001380865,7.940424e-7,0.00002655622,0.000007640108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2999076,"threshold_uncertainty_score":0.9999796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03443503399122248,"score_gpt":0.3149122543313787,"score_spread":0.2804772203401562,"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."}}