{"id":"W2557220444","doi":"","title":"Inspection of Ferromagnetic Support Structures From Within Alloy 800 Steam Generator Tubes Using Pulsed Eddy Current","year":2015,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Nuclear Laboratories; University Network of Excellence in Nuclear Engineering","keywords":"Eddy current; Alloy; Materials science; Ferromagnetism; Eddy-current testing; Boiler (water heating); Metallurgy; Nuclear engineering; Generator (circuit theory); Mechanical engineering; Electrical engineering; Engineering; Condensed matter physics; Physics; Power (physics); Waste management; Thermodynamics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00005190989,0.000599345,0.0006530291,0.000681367,0.0001238131,0.00007174985,0.0005633784,0.0004839259,0.0001903231],"category_scores_gemma":[0.00003951526,0.0007346445,0.000160839,0.0005459263,0.00009684182,0.001061092,0.0001165493,0.0007263392,0.000006542815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004064146,"about_ca_system_score_gemma":0.0004723177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003827061,"about_ca_topic_score_gemma":0.000162077,"domain_scores_codex":[0.9981514,0.000129305,0.0003663044,0.0005590916,0.0004592955,0.0003346365],"domain_scores_gemma":[0.9987697,0.00005289126,0.0002487596,0.0005372418,0.000171831,0.0002195956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003444236,0.001261612,0.1144836,0.009736527,0.004273298,0.001328531,0.0242311,0.0602462,0.1494242,0.02386884,0.6041116,0.003590303],"study_design_scores_gemma":[0.006009899,0.002453288,0.1202658,0.004697298,0.003598706,0.00001435049,0.01504324,0.009777844,0.6956486,0.1219923,0.009806276,0.0106924],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923955,0.0001635945,0.0002322821,0.0000555313,0.001339478,0.0004852355,0.0002991894,0.002136935,0.002892311],"genre_scores_gemma":[0.8550434,0.00017956,0.1400539,0.000007827002,0.0003370839,0.000003096127,0.002867953,0.0003017264,0.001205533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5943053,"threshold_uncertainty_score":0.9995105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01292923658762012,"score_gpt":0.2206244873456858,"score_spread":0.2076952507580656,"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."}}