{"id":"W3047117094","doi":"10.1115/1.4048008","title":"Finite Element Model of a Melting Terminal Debris Bed in a CANDU Calandria","year":2020,"lang":"en","type":"article","venue":"Journal of Nuclear Engineering and Radiation Science","topic":"Nuclear Materials and Properties","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nuclear Laboratories","funders":"","keywords":"Debris; Decay heat; Corium; Settling; Nuclear engineering; Uranium; Finite element method; Loss-of-coolant accident; Environmental science; Porosity; Materials science; Geology; Geotechnical engineering; Heat transfer; Coolant; Nuclear physics; Mechanics; Physics; Metallurgy; Engineering; Thermodynamics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001832395,0.0004452365,0.0006132468,0.0005740109,0.0009368606,0.001086202,0.001194328,0.00156345,0.003196539],"category_scores_gemma":[0.0004612445,0.000397634,0.0004687099,0.0004178406,0.0009931206,0.0002643233,0.000597875,0.0004779206,0.0004417512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001446223,"about_ca_system_score_gemma":0.00236098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09862207,"about_ca_topic_score_gemma":0.05433032,"domain_scores_codex":[0.9998697,0.0000151923,0.000006312822,0.00002696697,0.0000465076,0.00003531262],"domain_scores_gemma":[0.9998442,0.00005275273,0.0000251696,0.0000143241,0.00004324903,0.00002023553],"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":[0.00003380114,0.00002166086,0.001023608,0.0000132623,0.000007680766,0.000165397,0.00004826759,0.9942054,0.002492223,0.0006817499,0.0001426166,0.001164391],"study_design_scores_gemma":[0.00001172276,0.000021292,0.0008674214,0.000006090158,0.000004894111,0.00002571963,0.00006226273,0.997718,0.0006491323,0.0001042145,0.0005217447,0.000007591789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8795759,0.0002070401,0.08188584,0.0003239995,0.00005612667,0.0001040167,0.001221303,0.0005701904,0.03605547],"genre_scores_gemma":[0.9823738,0.00007992295,0.005983461,0.00003421763,0.00000515719,0.00007092033,0.0003765907,0.00003425394,0.01104168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09862207,"threshold_uncertainty_score":0.1960961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881387230370827,"score_gpt":0.2226526363612358,"score_spread":0.2038387640575276,"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."}}