{"id":"W4365147995","doi":"10.3390/s23083907","title":"Auto Sizing of CANDU Nuclear Reactor Fuel Channel Flaws from UT Scans","year":2023,"lang":"en","type":"article","venue":"Sensors","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Power Generation; Dalhousie University","funders":"Ontario Power Generation","keywords":"Sizing; Nuclear power plant; Process (computing); Channel (broadcasting); Nuclear fuel; Nuclear engineering; Spent nuclear fuel; Computer science; Uranium; Engineering; Materials science; Electrical engineering; Chemistry; Nuclear physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0006387572,0.0006768767,0.0003987001,0.001347883,0.0002019565,0.0007116266,0.000803004,0.0006035793,0.001367812],"category_scores_gemma":[0.003025501,0.0003508466,0.0004106827,0.0005534585,0.0003027678,0.0006424895,0.0004748842,0.0004355643,0.0006674725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003898043,"about_ca_system_score_gemma":0.0007559392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00180685,"about_ca_topic_score_gemma":0.004938304,"domain_scores_codex":[0.9994517,0.00004812069,0.00002965198,0.0001089066,0.00031028,0.00005139076],"domain_scores_gemma":[0.9980122,0.0005564941,0.0003920235,0.0002265015,0.0007691674,0.00004364493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003120969,0.00009138405,0.01193754,0.0002661982,0.00003268881,0.0001741687,0.0003534701,0.01736008,0.4632944,0.00150276,0.001339754,0.5033355],"study_design_scores_gemma":[0.00001918459,0.0002778705,0.01995519,0.00002799277,0.00004818701,0.0007767198,0.000209297,0.4159529,0.5564379,0.0008789661,0.005356132,0.00005970241],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1345258,0.0001853948,0.8600776,0.00006856141,0.00002936739,0.00008854298,0.0001136852,0.003201836,0.001709232],"genre_scores_gemma":[0.3614929,0.000143363,0.6356506,0.00004393995,0.00001394676,0.00006379357,0.00033138,0.0003633273,0.001896772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00180685,"threshold_uncertainty_score":0.004575789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02022748633729184,"score_gpt":0.2269824745027029,"score_spread":0.2067549881654111,"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."}}