{"id":"W3164430037","doi":"10.3390/app11104681","title":"Capability of Advanced Ultrasonic Inspection Technologies for Hydraulic Turbine Runners","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; École de Technologie Supérieure","funders":"","keywords":"Welding; Nondestructive testing; Ultrasonic sensor; Ultrasonic testing; Reliability (semiconductor); Turbine; Turbine blade; Engineering; Mechanical engineering; Structural engineering; Power (physics); Acoustics","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":[0.001216066,0.0003555991,0.0003726491,0.0008090355,0.0001274693,0.0004633214,0.0005159247,0.000595558,0.001518765],"category_scores_gemma":[0.001921171,0.0002339823,0.0002528013,0.0003016076,0.0004273195,0.0007165489,0.0004925205,0.0002545794,0.0003809072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002618094,"about_ca_system_score_gemma":0.0002938356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004864905,"about_ca_topic_score_gemma":0.0007865903,"domain_scores_codex":[0.9992416,0.0001644566,0.00002797116,0.0001094571,0.0003984554,0.00005806752],"domain_scores_gemma":[0.9987366,0.0006042185,0.0001467934,0.0001300135,0.0003386333,0.00004385951],"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":[0.0005498102,0.00005224419,0.005223403,0.0003445083,0.00002142705,0.0001414328,0.0002382085,0.0105596,0.8053609,0.0008665738,0.000331133,0.1763108],"study_design_scores_gemma":[0.0001126553,0.006762899,0.03176942,0.0001458806,0.0001607078,0.002413517,0.0002934378,0.1421285,0.7970927,0.00129031,0.01766408,0.0001658175],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5981618,0.002948848,0.3929225,0.0001686053,0.00005920053,0.0001265641,0.0001615251,0.001837126,0.003613854],"genre_scores_gemma":[0.8466424,0.00077679,0.1503906,0.00004001788,0.00002186622,0.00006189484,0.0001421471,0.00004795628,0.001876333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001518765,"threshold_uncertainty_score":0.006431282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009472253613293714,"score_gpt":0.2213374444107657,"score_spread":0.211865190797472,"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."}}