{"id":"W4402892204","doi":"10.1016/j.pnucene.2024.105450","title":"Coupled computational fluid dynamics and computational thermodynamics simulations for fission product retention and release: A molten salt fast reactor application","year":2024,"lang":"en","type":"article","venue":"Progress in Nuclear Energy","topic":"Nuclear Materials and Properties","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Ontario Tech University","funders":"H2020 Euratom; Euratom Research and Training Programme; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Molten salt; Nuclear fission product; Computational fluid dynamics; Thermodynamics; Fission products; Nuclear engineering; Materials science; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002122182,0.0001383017,0.0001556728,0.00009722565,0.0001334592,0.0002832318,0.00008072148,0.00006975511,0.00003026291],"category_scores_gemma":[0.00002353716,0.0001216221,0.00002393601,0.0001092783,0.0001401201,0.0002431084,0.0000754144,0.00005244509,0.000003705167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006963991,"about_ca_system_score_gemma":0.00003085712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005503748,"about_ca_topic_score_gemma":0.0000326267,"domain_scores_codex":[0.9989276,0.00005610831,0.0002723992,0.0004063674,0.0001736586,0.0001638853],"domain_scores_gemma":[0.9995837,0.00008844108,0.00007235234,0.0001102145,0.00009479951,0.00005048488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001023405,0.0003356552,0.000973907,0.00140782,0.00006709883,0.00001113365,0.001719979,0.1057768,0.1997687,0.4708592,0.0003218846,0.2177344],"study_design_scores_gemma":[0.000264379,0.00007085417,0.002567668,0.00009989327,0.00001456219,0.00001214732,0.00003285482,0.9838069,0.0001383902,0.0112507,0.001589947,0.0001516918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98788,0.001114353,0.008995942,0.0009629611,0.0002240342,0.000385208,0.0001434782,0.0002532693,0.00004078762],"genre_scores_gemma":[0.98978,0.0000501709,0.009602776,0.000044067,0.00008725312,0.00005180795,0.0002940608,0.00006124954,0.00002861057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8780301,"threshold_uncertainty_score":0.4959606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0106511620519635,"score_gpt":0.2483613069404646,"score_spread":0.2377101448885011,"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."}}