{"id":"W2173213923","doi":"10.1115/icone17-75990","title":"Thermal Aspects for Uranium Carbide and Uranium Dicarbide Fuels in Supercritical Water-Cooled Nuclear Reactors","year":2009,"lang":"en","type":"article","venue":"","topic":"Subcritical and Supercritical Water Processes","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nuclear engineering; Supercritical fluid; Coolant; Nuclear fuel; Materials science; Heat transfer; Enriched uranium; Environmental science; Uranium; Waste management; Chemistry; Thermodynamics; Mechanical engineering; Metallurgy; Engineering","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":[0.0003161456,0.0002542943,0.0002121977,0.0002235348,0.0004782945,0.0005970533,0.000361188,0.0002985194,0.00182903],"category_scores_gemma":[0.0003568624,0.0002145571,0.0003829153,0.0002015004,0.0004712404,0.0006573883,0.0002329505,0.0004643764,0.0004188368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009139595,"about_ca_system_score_gemma":0.0004134024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002808291,"about_ca_topic_score_gemma":0.003098922,"domain_scores_codex":[0.9997622,0.00002995881,0.000007958398,0.00003413064,0.0001306439,0.00003504164],"domain_scores_gemma":[0.9999131,0.00002694444,0.00001021608,0.000007553293,0.00003636468,0.000005826761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005053208,0.000129983,0.00260664,0.001247261,0.0000318788,0.0006121162,0.0004592895,0.0516043,0.8537748,0.05253106,0.001561517,0.03493582],"study_design_scores_gemma":[0.00003769575,0.0005460365,0.005427152,0.0001024694,0.00003964989,0.0006020412,0.0003963466,0.1019732,0.848203,0.006216564,0.03637466,0.00008115512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8506468,0.02162914,0.06000415,0.000825688,0.0003889991,0.0001381779,0.000317134,0.000195395,0.0658545],"genre_scores_gemma":[0.9841878,0.00272393,0.005562726,0.000048073,0.00005285786,0.00004111682,0.0001300383,0.00003984039,0.007213505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002808291,"threshold_uncertainty_score":0.006631315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008735361073869985,"score_gpt":0.2107931535052903,"score_spread":0.2020577924314204,"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."}}