{"id":"W4322013197","doi":"10.58286/27714","title":"X-ray Computed Tomography for Nuclear Power Plant Maintenance","year":2023,"lang":"en","type":"article","venue":"e-Journal of Nondestructive Testing","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Workflow; Software deployment; Software; Nuclear power plant; Computer science; Nuclear power; Nuclear reactor core; Systems engineering; Reliability engineering; Software engineering; Engineering; Nuclear engineering; Operating system; Database","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002603461,0.0001737768,0.0002662982,0.0002679351,0.0001354454,0.00004041123,0.0002206603,0.00004469275,0.00001397687],"category_scores_gemma":[0.0002651357,0.000163714,0.0001262097,0.0006450301,0.00005625198,0.0003280618,0.00003195791,0.0003090347,0.00001265856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005708617,"about_ca_system_score_gemma":0.00001784664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.473644e-7,"about_ca_topic_score_gemma":2.582138e-7,"domain_scores_codex":[0.9989367,0.00001443902,0.0003765023,0.000127228,0.0001728988,0.0003722984],"domain_scores_gemma":[0.9990325,0.0003424447,0.0001803249,0.0001073358,0.0002368915,0.0001004925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006233967,0.0001736585,0.02561101,0.0008988308,0.001455353,0.00172241,0.007325232,0.5398888,0.2851189,0.01414184,0.0234568,0.09958383],"study_design_scores_gemma":[0.009757916,0.002198326,0.3199315,0.004506115,0.0003401797,0.005315346,0.01021779,0.5242244,0.005243558,0.07475298,0.04018137,0.003330504],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9114352,0.0003615364,0.08110265,0.0001024995,0.00181322,0.0002816428,0.00006229055,0.0008254059,0.004015529],"genre_scores_gemma":[0.8943145,0.000005828808,0.1053451,0.00004034926,0.0002148384,0.000002274197,0.000002971168,0.00006160176,0.00001252981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2943205,"threshold_uncertainty_score":0.6676062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01609608672566674,"score_gpt":0.2244424822436553,"score_spread":0.2083463955179886,"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."}}