{"id":"W7082374614","doi":"10.1016/j.nucengdes.2025.114479","title":"Monte Carlo track-chemistry simulations of fast neutron radiolysis in supercritical water at 400–600 °C and 25 MPa","year":2025,"lang":"en","type":"article","venue":"Nuclear Engineering and Design","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"Faculté de médecine et des sciences de la santé, Université de Sherbrooke; Natural Sciences and Engineering Research Council of Canada; Canadian Nuclear Safety Commission; Université de Sherbrooke","keywords":"Radiolysis; Supercritical fluid; Monte Carlo method; Coolant; Neutron; Recoil; Radiation; Irradiation","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":[0.0001083753,0.00009436156,0.0001470405,0.0000429118,0.00004459796,0.00003023889,0.0001135144,0.00007611636,0.00001421465],"category_scores_gemma":[0.00004427741,0.00008265299,0.0000231794,0.0000970416,0.00002994537,0.00007430057,0.00009718988,0.00009943682,8.372079e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001654088,"about_ca_system_score_gemma":0.000005927122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001157294,"about_ca_topic_score_gemma":4.96398e-7,"domain_scores_codex":[0.9994221,0.00001467376,0.0001363342,0.0002036357,0.00005421874,0.0001690183],"domain_scores_gemma":[0.9996693,0.00009449603,0.000003572572,0.0001633691,0.00002244082,0.00004683947],"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":[0.00001330178,0.00003518689,0.000607808,0.0002327678,0.00002304255,0.00001442774,0.001325244,0.3873122,0.6088615,0.0008628514,0.0001182821,0.0005934128],"study_design_scores_gemma":[0.0002603139,0.00001448907,0.001877921,0.00004995122,0.000008776302,0.00001284851,0.00004560119,0.9615789,0.03470776,0.00007506721,0.001258562,0.0001098116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887563,0.0001621226,0.009851737,0.0005420781,0.00002821568,0.00005337252,0.000001411038,0.00005862265,0.0005461475],"genre_scores_gemma":[0.9968989,0.00001278854,0.002840173,0.00002015214,0.000009219094,0.000001959193,5.898896e-7,0.000002699118,0.0002135507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5742667,"threshold_uncertainty_score":0.3370491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007178502717889074,"score_gpt":0.1855713284397471,"score_spread":0.178392825721858,"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."}}