{"id":"W3206868158","doi":"10.1016/b978-0-12-822054-2.00023-4","title":"Computational modeling of in-reactor deformation in CANDU fuel channels","year":2021,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Nuclear Materials and Properties","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Creep; Materials science; Deformation (meteorology); Nuclear engineering; Mechanics; Composite material; Engineering; Physics","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":[0.0003582204,0.0002007845,0.0004636222,0.0001582749,0.00002174495,0.00006000933,0.0001496952,0.0001768533,0.0007041504],"category_scores_gemma":[0.00001319826,0.000180271,0.00006458235,0.0000121181,0.00004849329,0.0001024303,0.0001006001,0.0001399796,0.0000631361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008439075,"about_ca_system_score_gemma":0.000140303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000274207,"about_ca_topic_score_gemma":0.0001354043,"domain_scores_codex":[0.9986506,0.00004099014,0.0006347431,0.0002362731,0.0002604302,0.0001769271],"domain_scores_gemma":[0.9994648,0.00002316599,0.0002006131,0.0001677734,0.0001078414,0.00003579393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006025602,0.0001468792,0.00005741466,0.00553462,0.00009657472,0.0001822006,0.01979414,0.07298986,0.1258362,0.07281373,0.00004356566,0.7019022],"study_design_scores_gemma":[0.007780599,0.000742004,0.0005036452,0.02745147,0.0002810882,0.0001860921,0.001021877,0.1508564,0.03230153,0.4022572,0.3700536,0.006564556],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2057229,0.0009594077,0.00001128579,0.00003808501,0.0008402728,0.0003641186,0.00007784171,0.00002503499,0.7919611],"genre_scores_gemma":[0.907158,0.00007148147,0.000520298,0.00009675285,0.0001619566,0.00001748769,0.00006534065,0.00005130579,0.09185743],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7014351,"threshold_uncertainty_score":0.7709953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0297100880514091,"score_gpt":0.2330196258435342,"score_spread":0.2033095377921251,"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."}}