{"id":"W4410714587","doi":"10.58286/31312","title":"Challenges in performing Integrated, Correlated Visual Evaluation and associated Material Characterization (NDE 4.0) for Failure Analysis of Spacecraft Propulsion System Components","year":2025,"lang":"en","type":"article","venue":"e-Journal of Nondestructive Testing","topic":"Technology Assessment and Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Indian Space Research Organisation; Heart and Stroke Foundation of Canada","keywords":"Spacecraft; Propulsion; Characterization (materials science); Aerospace engineering; Spacecraft propulsion; Engineering; Computer science; Systems engineering; Materials science; Nanotechnology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007440625,0.001004334,0.0009495188,0.003027517,0.000608735,0.002136067,0.001563602,0.001121221,0.003520064],"category_scores_gemma":[0.0082789,0.0005593603,0.0006001928,0.001043336,0.001070085,0.001820619,0.001510351,0.001340461,0.001506593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006634988,"about_ca_system_score_gemma":0.001582129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001123835,"about_ca_topic_score_gemma":0.003714836,"domain_scores_codex":[0.9953086,0.0007288331,0.0002574155,0.0004255414,0.003123817,0.0001557948],"domain_scores_gemma":[0.986691,0.003984444,0.00105919,0.002222188,0.005844434,0.0001987282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002227525,0.0002107132,0.01816089,0.003845301,0.000148948,0.0006536098,0.000980873,0.01296257,0.5475281,0.008522228,0.007671304,0.3990926],"study_design_scores_gemma":[0.00005005082,0.00137257,0.06474972,0.001026978,0.0002845441,0.004662784,0.002381693,0.0800798,0.6901544,0.02000883,0.1349244,0.0003043504],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1516722,0.009691123,0.8101486,0.001570456,0.0004756274,0.0007525791,0.002188865,0.005362699,0.01813794],"genre_scores_gemma":[0.3932509,0.003996276,0.5932581,0.0005101577,0.000127488,0.0005952361,0.001537161,0.001122199,0.005602506],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007440625,"threshold_uncertainty_score":0.03935027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02975885600868871,"score_gpt":0.2833294105478422,"score_spread":0.2535705545391534,"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."}}