{"id":"W3130059270","doi":"10.1051/epjconf/202124701004","title":"CORE DESIGN OF BREED & BURN MOLTEN SALT FAST REACTOR","year":2021,"lang":"en","type":"article","venue":"EPJ Web of Conferences","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"E-One Moli Energy (Canada)","funders":"","keywords":"Blanket; Nuclear engineering; Coolant; Molten salt; Natural uranium; Molten salt reactor; Uranium; Materials science; Liquid fluoride thorium reactor; Nuclear reactor core; Metallurgy; Engineering; Mechanical engineering; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002459417,0.0003963957,0.0004522757,0.0002576834,0.0002920487,0.0006151503,0.0006484517,0.0005381274,0.002354243],"category_scores_gemma":[0.0002417495,0.0002616908,0.0003396003,0.0001268511,0.0002145317,0.0003596278,0.0004152404,0.0002301395,0.000652949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006374914,"about_ca_system_score_gemma":0.0009003313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008371877,"about_ca_topic_score_gemma":0.0008560527,"domain_scores_codex":[0.9998538,0.00001485977,0.000005782298,0.00003068653,0.0000719676,0.00002273257],"domain_scores_gemma":[0.9998704,0.0000176562,0.00003368953,0.00001187423,0.00004177439,0.00002464212],"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":[0.00126664,0.00009861208,0.002799306,0.000616171,0.00004469031,0.0004037939,0.0001593421,0.4048038,0.522709,0.01283363,0.001968548,0.05229651],"study_design_scores_gemma":[0.0001692887,0.001471255,0.004288615,0.00004343392,0.00004766514,0.000455691,0.00007546142,0.7063147,0.2644324,0.002355104,0.02026816,0.00007823754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5582693,0.0006400219,0.4036248,0.0001666544,0.0001112326,0.0003194197,0.0005999234,0.001319776,0.0349489],"genre_scores_gemma":[0.9370551,0.0001613189,0.05500323,0.00003563596,0.00001139562,0.0001634982,0.0002394673,0.0001177693,0.007212583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002354243,"threshold_uncertainty_score":0.007875681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05589225804360222,"score_gpt":0.2376218126927235,"score_spread":0.1817295546491213,"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."}}