{"id":"W2901306586","doi":"10.12943/cnr.2018.00010","title":"ASSESSMENT OF FAST-SPECTRUM BLANKET LATTICES FOR BREEDING FISSILE FUEL FROM THORIUM AND DEPLETED URANIUM IN AN EXTERNALLY DRIVEN SUB-CRITICAL GAS-COOLED PRESSURE TUBE REACTOR","year":2018,"lang":"en","type":"article","venue":"CNL Nuclear Review","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nuclear Laboratories","funders":"","keywords":"Fissile material; Blanket; Nuclear engineering; Neutron transport; Burnup; Thorium fuel cycle; Liquid fluoride thorium reactor; Hybrid reactor; Uranium-233; Breeder (animal); Spent nuclear fuel; Materials science; Nuclear physics; Breeder reactor; Neutron; Nuclear fuel; Nuclear reactor core; MOX fuel; Uranium; Physics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000165781,0.0002354865,0.0005355848,0.00005615749,0.00003267484,0.00006785826,0.0002197476,0.00008715827,0.000102936],"category_scores_gemma":[0.00004231254,0.0002242834,0.00008379134,0.0001311675,0.00005559622,0.0003063874,0.00006136538,0.0002081361,0.000007349666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003390409,"about_ca_system_score_gemma":0.00001074431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002513882,"about_ca_topic_score_gemma":0.00002279235,"domain_scores_codex":[0.99884,0.00002940233,0.0003700037,0.0002857913,0.0001636059,0.0003112154],"domain_scores_gemma":[0.9993398,0.00009980015,0.00005530082,0.0003054428,0.00006303676,0.0001366875],"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":[0.00008687694,0.0003493309,0.004907604,0.02738108,0.0005307822,0.00003169642,0.001355396,0.0001570627,0.9102854,0.01626191,0.002470911,0.03618202],"study_design_scores_gemma":[0.002230363,0.001223112,0.1351687,0.01714638,0.0009077867,0.0000282024,0.0001830427,0.659707,0.0026028,0.001268238,0.1776525,0.001881864],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9682211,0.02485758,0.00169103,0.0003498281,0.0007346002,0.001112743,0.0002721801,0.0004233223,0.002337672],"genre_scores_gemma":[0.9928065,0.004410316,0.002264017,0.00005284118,0.0003180539,0.00001422678,0.0000211161,0.0001103558,0.000002565532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9076825,"threshold_uncertainty_score":0.914601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01556702940935175,"score_gpt":0.2703785567632467,"score_spread":0.254811527353895,"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."}}