{"id":"W3138629677","doi":"10.22215/etd/2014-10489","title":"Numerical Modelling of the No-Core-Melt Passive Safety Feature in the Generation IV Canadian SCWR","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Nuclear Materials and Properties","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Cladding (metalworking); Coolant; Nuclear engineering; Limiting; Loss-of-coolant accident; Heat transfer; Materials science; Supercritical fluid; Thermal; Nuclear reactor core; Mechanics; Engineering; Mechanical engineering; Thermodynamics; Composite material; 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":[0.0002432236,0.0005197583,0.0005869813,0.0005140797,0.00133548,0.001152784,0.001197476,0.001420312,0.003471081],"category_scores_gemma":[0.0006385682,0.0004460797,0.0005638919,0.0005092072,0.001008889,0.0005270186,0.0005252805,0.0006841746,0.0004637475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003440145,"about_ca_system_score_gemma":0.005692718,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2440514,"about_ca_topic_score_gemma":0.212026,"domain_scores_codex":[0.9997719,0.00001262463,0.000004969516,0.00004232751,0.0001014112,0.00006671115],"domain_scores_gemma":[0.9997981,0.00006711014,0.00002407721,0.00001930563,0.00006547936,0.00002593643],"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":[0.00006877965,0.00003976601,0.001277624,0.00005099113,0.000005283176,0.0001577042,0.0001139535,0.9711076,0.01983877,0.002351515,0.0006900307,0.004298008],"study_design_scores_gemma":[0.00001890728,0.00005212861,0.001419455,0.000006759225,0.000007085971,0.00003887933,0.00007213478,0.9887775,0.007650523,0.0002951927,0.001640648,0.0000208691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8511522,0.0002494364,0.08788529,0.0004378617,0.0001011485,0.0002115262,0.001562117,0.000906832,0.05749359],"genre_scores_gemma":[0.9779429,0.0001169716,0.01010385,0.00002730431,0.000005327161,0.00006094648,0.0003512924,0.00009124422,0.01130009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7559485,"threshold_uncertainty_score":0.4852618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02564764301010645,"score_gpt":0.2252630055158024,"score_spread":0.199615362505696,"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."}}