{"id":"W2015879859","doi":"10.1016/j.anucene.2007.09.012","title":"Modeling reactivity devices for advanced CANDU reactors using the code DRAGON","year":2007,"lang":"en","type":"article","venue":"Annals of Nuclear Energy","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nuclear engineering; Code (set theory); Reactivity (psychology); Computer science; Reliability engineering; Programming language; Engineering; Medicine; Set (abstract data type)","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":[0.0002047047,0.0001515912,0.0001918461,0.00006363825,0.00007344953,0.00002151421,0.0001627679,0.00006841672,0.000003909233],"category_scores_gemma":[0.00001740416,0.0001311192,0.0001037001,0.0001446751,0.00001932772,0.000198552,0.00002761153,0.0001026849,7.025603e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000249162,"about_ca_system_score_gemma":0.000007976561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004447383,"about_ca_topic_score_gemma":0.0001917556,"domain_scores_codex":[0.9991982,0.000006259304,0.0002163876,0.0001319389,0.0001272495,0.0003199629],"domain_scores_gemma":[0.9995126,0.00006813054,0.00004348945,0.000230693,0.00007663117,0.00006842904],"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":[0.00005074899,0.00002911822,0.000008369466,0.00006553481,0.00009547875,0.000001710125,0.0002847384,0.5720084,0.3813083,0.01395743,0.0002053594,0.03198474],"study_design_scores_gemma":[0.0001510564,0.00003486611,0.0001096827,0.00005942402,0.00001749928,0.000002582588,0.0002554076,0.865211,0.01649131,0.0003461945,0.11709,0.0002310181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757028,0.000214674,0.02095927,0.00004974858,0.0002540637,0.00006301443,0.00001421262,0.0001513424,0.002590922],"genre_scores_gemma":[0.9986878,0.0001231062,0.0008509126,0.00008266629,0.0001475224,0.00000155475,0.000004619953,0.00009650909,0.000005313143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.364817,"threshold_uncertainty_score":0.5346884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05069091720014043,"score_gpt":0.2812188616837957,"score_spread":0.2305279444836552,"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."}}