{"id":"W2794503169","doi":"10.1115/1.4039778","title":"A Thoria and Thorium Uranium Dioxide Nuclear Fuel Performance Model Prototype and Knowledge Gap Assessment","year":2018,"lang":"en","type":"article","venue":"Journal of Nuclear Engineering and Radiation Science","topic":"Nuclear Materials and Properties","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Nuclear engineering; Plutonium; Nuclear fuel; Thorium fuel cycle; Uranium; Uranium dioxide; Thorium; Environmental science; MOX fuel; Spent nuclear fuel; Materials science; Waste management; Nuclear chemistry; Engineering; Chemistry; Metallurgy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004922117,0.0006481453,0.0004110734,0.0004450508,0.0004857055,0.0007784587,0.001525938,0.0008376984,0.003405293],"category_scores_gemma":[0.0007944438,0.0002507393,0.0005375269,0.0004262477,0.0002133405,0.0009092205,0.0003464426,0.0005568856,0.0005409811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00134503,"about_ca_system_score_gemma":0.002511154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04301813,"about_ca_topic_score_gemma":0.03007834,"domain_scores_codex":[0.9998448,0.0000255232,0.00000762566,0.00002703866,0.00007195439,0.00002296191],"domain_scores_gemma":[0.9996184,0.000148219,0.00001873892,0.00003581859,0.0001619926,0.00001683842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001684692,0.0001020786,0.001530769,0.000137808,0.0000189418,0.0001182505,0.00009162586,0.9717565,0.007772719,0.003483456,0.00188314,0.01293632],"study_design_scores_gemma":[0.00002844129,0.00008496088,0.0004129264,0.00001103418,0.00001127147,0.00001560888,0.00004243596,0.9874604,0.007727688,0.0006487528,0.003543354,0.00001307133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7192771,0.0003587783,0.173071,0.0007480321,0.00009963017,0.0006985354,0.01224022,0.004220702,0.08928603],"genre_scores_gemma":[0.9404364,0.0002515943,0.04465677,0.00004117106,0.000007361459,0.0004410905,0.004507807,0.0002142372,0.009443521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04301813,"threshold_uncertainty_score":0.08553547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01647489791091487,"score_gpt":0.2582135680783222,"score_spread":0.2417386701674073,"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."}}