{"id":"W3130059270","doi":"10.1051/epjconf/202124701004","title":"CORE DESIGN OF BREED &amp; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006514545,0.0001263597,0.000273742,0.00005158036,0.00001006117,0.00001699758,0.0001459708,0.00005740054,0.0002804275],"category_scores_gemma":[0.00002684993,0.0001233019,0.00005644214,0.0001655045,0.00003590919,0.00007174701,0.00002735884,0.0001085185,0.00001435929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001051969,"about_ca_system_score_gemma":0.0001379492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003446921,"about_ca_topic_score_gemma":0.00001329668,"domain_scores_codex":[0.99934,0.00001040462,0.0002253727,0.0001087499,0.0001600726,0.0001554174],"domain_scores_gemma":[0.9995051,0.0000731862,0.00004786417,0.0002071112,0.0001117159,0.00005503646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000008363614,0.00003843529,0.0007938732,0.0001783911,0.0001356766,0.000005550468,0.0003280631,0.01147832,0.9702828,0.01150547,0.001254019,0.003991031],"study_design_scores_gemma":[0.002017712,0.0003222623,0.01692533,0.001245128,0.0002162478,0.0000354847,0.001314759,0.3775806,0.4251871,0.006794419,0.1665238,0.001837078],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8951212,0.001023049,0.02267043,0.00004705587,0.0007329825,0.0001617627,0.00006468222,0.0002618859,0.07991698],"genre_scores_gemma":[0.9981774,0.0001979708,0.001434162,0.000003406605,0.00005918374,0.000002531807,0.00001557191,0.00002493616,0.00008483156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5450957,"threshold_uncertainty_score":0.5028105,"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."}}