{"id":"W4386253566","doi":"10.1007/s00170-023-12176-5","title":"Reliability assessment of non-destructive testing (NDT) for the inspection of weld joints in the hydroelectric turbine industry","year":2023,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hydro-Québec; École de Technologie Supérieure","funders":"Mitacs","keywords":"Nondestructive testing; Reliability (semiconductor); Ultrasonic testing; Welding; Turbine; Phased array ultrasonics; Statistical power; Engineering; Reliability engineering; Structural engineering; Ultrasonic sensor; Turbine blade; Mechanical engineering; Phased array; Power (physics); Acoustics; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001790339,0.0005032204,0.0002947362,0.0009081167,0.0002076274,0.0003890809,0.000511303,0.0004841958,0.0004550621],"category_scores_gemma":[0.004650256,0.0002001172,0.0004421898,0.0003009567,0.0003570629,0.0003208016,0.0003880519,0.0002077129,0.000176076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004461463,"about_ca_system_score_gemma":0.000330358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001563232,"about_ca_topic_score_gemma":0.002519464,"domain_scores_codex":[0.9985173,0.0003985009,0.00005109458,0.0001271743,0.0008693177,0.00003668004],"domain_scores_gemma":[0.9950359,0.002208198,0.0005225546,0.0003289823,0.001815348,0.00008901462],"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":[0.001326768,0.0002555328,0.0901375,0.0008392297,0.0002348269,0.0004815572,0.0004223471,0.1324236,0.5757596,0.001068679,0.0007061451,0.1963442],"study_design_scores_gemma":[0.00004377314,0.002861832,0.1186156,0.00008220938,0.0002959512,0.001157222,0.0002424957,0.6760072,0.1978095,0.001358588,0.001446006,0.00007968811],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7467021,0.002757578,0.2475824,0.0001216192,0.00005871303,0.00009353495,0.000122813,0.0002703812,0.002290778],"genre_scores_gemma":[0.9889756,0.0002031453,0.01040402,0.00001261223,0.000006981039,0.00001236833,0.00003794851,0.00001098464,0.000336396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001790339,"threshold_uncertainty_score":0.009468377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01631131792919521,"score_gpt":0.2997336389994248,"score_spread":0.2834223210702296,"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."}}