{"id":"W2509959983","doi":"10.13182/nt07-a3819","title":"Performance of Advanced Self-Shielding Models in DRAGON for the Estimation of CANDU-6 Safety Parameters","year":2007,"lang":"en","type":"article","venue":"Nuclear Technology","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Polytechnique Montréal","keywords":"Electromagnetic shielding; Nuclear engineering; Nuclear data; Equivalence (formal languages); Computer science; Materials science; Mathematics; Physics; Nuclear physics; Engineering; Neutron","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001610883,0.0006659215,0.0006085337,0.0006679412,0.0004009706,0.0006517541,0.001208062,0.0005199867,0.00114877],"category_scores_gemma":[0.003164314,0.0003506117,0.0004284688,0.0005451756,0.0003130208,0.0006953352,0.0006971891,0.000512851,0.0002259183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009237948,"about_ca_system_score_gemma":0.001148374,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01273836,"about_ca_topic_score_gemma":0.01212141,"domain_scores_codex":[0.9993973,0.0002320178,0.00002956591,0.00008317403,0.0002121379,0.00004580646],"domain_scores_gemma":[0.9980605,0.001027081,0.0001686488,0.0003159312,0.0003474344,0.00008043354],"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":[0.0004444072,0.00006028835,0.01393472,0.00005463323,0.00004475975,0.00007562595,0.00009711288,0.9474231,0.00472132,0.002041776,0.0004015478,0.03070069],"study_design_scores_gemma":[0.00001145621,0.00005787955,0.001405049,0.000005581996,0.000007743068,0.0000236327,0.00001693998,0.9922866,0.005600639,0.0002589471,0.0003103,0.00001526211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.767058,0.0002407557,0.2232066,0.0001119254,0.00004046519,0.00007943362,0.000493757,0.002508551,0.006260341],"genre_scores_gemma":[0.9334066,0.00006820883,0.06483127,0.00002491106,0.000004514982,0.00004684224,0.0004551066,0.0001166784,0.001045965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9872617,"threshold_uncertainty_score":0.0253284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00606823161332355,"score_gpt":0.1958967204869268,"score_spread":0.1898284888736033,"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."}}