{"id":"W7133021426","doi":"","title":"Robotization of eddy current surface inspection in the aerospace industry","year":2025,"lang":"en","type":"dissertation","venue":"Trepo - Institutional Repository of Tampere University","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Office of the Chief Medical Examiner","funders":"","keywords":"Eddy-current testing; Aerospace; Reliability (semiconductor); Eddy current; Consistency (knowledge bases); Process (computing); Nondestructive testing; Fatigue testing","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":[0.0001479608,0.0002126413,0.0002804314,0.0002778738,0.0001861602,0.00001155075,0.0003355194,0.0004024201,0.000004172734],"category_scores_gemma":[0.00009713518,0.0002260742,0.0001049805,0.0005753095,0.0001405956,0.0002231908,0.00002848308,0.0007523998,5.144371e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005816538,"about_ca_system_score_gemma":0.0004385649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004449981,"about_ca_topic_score_gemma":0.000217291,"domain_scores_codex":[0.9988907,0.00008724042,0.000331032,0.0002360363,0.0003360347,0.0001189558],"domain_scores_gemma":[0.9990469,0.00009799566,0.0002547113,0.0002852406,0.0002890396,0.00002614839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0008442866,0.0016369,0.1428082,0.008393436,0.0007353469,0.0003393538,0.008015623,0.4229074,0.1110075,0.2925982,0.008447133,0.002266732],"study_design_scores_gemma":[0.003029667,0.000428564,0.7889077,0.01413925,0.001179473,0.0002299027,0.01060632,0.007618553,0.1526185,0.01093726,0.007523797,0.002781018],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9480751,0.0002880045,0.001140097,0.0000164912,0.001076194,0.0003283236,0.00003223595,0.00024142,0.04880211],"genre_scores_gemma":[0.9937344,0.00008276065,0.005610894,0.000001754991,0.00004071524,0.000001592465,0.0002220934,0.00001136803,0.0002944239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6460995,"threshold_uncertainty_score":0.9219038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01244185326476091,"score_gpt":0.2321004108114561,"score_spread":0.2196585575466952,"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."}}