{"id":"W4410808284","doi":"10.1007/978-3-031-84477-5_21","title":"NDE in the Automotive Sector","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada); Windsor Clinical Research; University of Windsor","funders":"","keywords":"Automotive industry; Engineering; Aerospace 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004309527,0.0006573334,0.0005035472,0.0008652721,0.0005769212,0.002135985,0.0006773672,0.001047931,0.03130402],"category_scores_gemma":[0.0009551858,0.0003590846,0.0004016655,0.00150585,0.0007247232,0.0020954,0.0009544884,0.001371301,0.01068174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002628719,"about_ca_system_score_gemma":0.001078439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003400901,"about_ca_topic_score_gemma":0.007150852,"domain_scores_codex":[0.9997634,0.00003647485,0.000007370733,0.00003433449,0.0001309034,0.00002748791],"domain_scores_gemma":[0.9998224,0.00008319902,0.000008361187,0.00003037421,0.00004372793,0.00001192763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003620689,0.00007890126,0.0002369994,0.0005305707,0.000008318653,0.0000720472,0.00009656872,0.009577001,0.00105683,0.3896271,0.1484682,0.4502112],"study_design_scores_gemma":[0.000002366618,0.00001449478,0.0002912054,0.000214085,0.000002744665,0.00009305725,0.00005565607,0.002865243,0.0006505396,0.07702707,0.9187756,0.000007878615],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001712121,0.09505245,0.0347459,0.004523796,0.002136793,0.00002658149,0.0001886656,0.0002063226,0.8614073],"genre_scores_gemma":[0.02992739,0.06122056,0.01452988,0.0008950867,0.0006838691,0.00003789985,0.0002713657,0.0002182957,0.8922157],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03130402,"threshold_uncertainty_score":0.1047224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009269338871430673,"score_gpt":0.1884319368183809,"score_spread":0.1791625979469502,"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."}}