{"id":"W4412663291","doi":"10.58286/31621","title":"Ultrasonic Characterization of Hydrides in Nuclear Fuel Channels","year":2025,"lang":"en","type":"article","venue":"e-Journal of Nondestructive Testing","topic":"Nuclear Materials and Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mitacs","keywords":"Ultrasonic sensor; Characterization (materials science); Nuclear engineering; Materials science; Environmental science; Acoustics; Engineering; Nanotechnology; Physics","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":[0.0001629752,0.0001073004,0.0001199206,0.0004377624,0.0001116839,0.0001484637,0.0001915931,0.0001920481,0.0003934989],"category_scores_gemma":[0.0002902472,0.00009102625,0.0000555002,0.0001830246,0.0002243745,0.0002051316,0.0001730691,0.000138497,0.00006775371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001255425,"about_ca_system_score_gemma":0.000147029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008762318,"about_ca_topic_score_gemma":0.00146154,"domain_scores_codex":[0.9999052,0.000007288438,0.000003157587,0.00002209764,0.00005060328,0.00001160385],"domain_scores_gemma":[0.9998633,0.00005067958,0.0000327134,0.000007352121,0.00003660555,0.000009436321],"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":[0.0000341518,0.000006844601,0.002028056,0.00003525623,0.000002356294,0.00005025853,0.00009216565,0.0006046014,0.9915326,0.0001370109,0.00003181158,0.00544482],"study_design_scores_gemma":[0.000004776,0.0001774006,0.019015,0.000006975812,0.000008731323,0.0001801201,0.0001858994,0.01339645,0.9661402,0.00008027154,0.0007914506,0.00001267267],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899429,0.0003654235,0.008702125,0.00001537247,0.000003389734,0.00001333496,0.00008324189,0.0000577096,0.0008163683],"genre_scores_gemma":[0.9943882,0.0001899975,0.004725733,0.000007396224,0.000002496196,0.00001195858,0.00004627819,0.000006186498,0.0006218423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008762318,"threshold_uncertainty_score":0.001742303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02030902956777782,"score_gpt":0.2408112462336972,"score_spread":0.2205022166659193,"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."}}