{"id":"W369089130","doi":"10.13182/nt13-72","title":"Modeling the Detection of Delayed Neutron Signatures in MCNP6 and Comparisons with Measurements of<sup>233</sup>U,<sup>235</sup>U, and<sup>239</sup>Pu","year":2014,"lang":"en","type":"article","venue":"Nuclear Technology","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Fissile material; Neutron; Nuclear physics; Delayed neutron; Fission; Isotope; Prompt neutron; Nuclear data; Neutron detection; Physics; Nuclear engineering; Radiochemistry; Chemistry","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":[0.0008805643,0.0009095546,0.0003186041,0.0005025736,0.000383824,0.0006501863,0.001463015,0.0009505923,0.003424427],"category_scores_gemma":[0.003386051,0.0004816758,0.0005312463,0.0008092881,0.000342666,0.0006795469,0.0002915632,0.0008138372,0.0005125683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001195357,"about_ca_system_score_gemma":0.000863991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01098443,"about_ca_topic_score_gemma":0.0129343,"domain_scores_codex":[0.9994521,0.00007909603,0.00002335934,0.00006917411,0.0003416082,0.00003473032],"domain_scores_gemma":[0.9984496,0.0008327358,0.0001469798,0.0001421572,0.00039884,0.00002963103],"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":[0.000403062,0.00007696352,0.006295878,0.0002403501,0.00004771164,0.0002359672,0.0001964744,0.9408481,0.03166471,0.003461518,0.001133647,0.01539573],"study_design_scores_gemma":[0.00002084797,0.00006755838,0.001431737,0.00001300706,0.0000213306,0.0001220048,0.00002859838,0.9314376,0.06190088,0.0006512594,0.004277353,0.00002769742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5530267,0.0004280516,0.4165815,0.0002571635,0.0001163222,0.0003409749,0.004597427,0.005033934,0.01961803],"genre_scores_gemma":[0.8031106,0.0005065065,0.186593,0.00008948507,0.00001355953,0.0004043811,0.002941994,0.001139929,0.005200628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01098443,"threshold_uncertainty_score":0.02184099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01178703317041578,"score_gpt":0.2209692599728988,"score_spread":0.209182226802483,"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."}}