{"id":"W2018205123","doi":"10.1016/j.anucene.2012.06.029","title":"Generalized perturbation theory and stochastics algorithms applied to improve CANDU6 reflectors","year":2012,"lang":"en","type":"article","venue":"Annals of Nuclear Energy","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Reflector (photography); Perturbation (astronomy); Computer science; Reactor design; Power (physics); Mathematical optimization; Algorithm; Nuclear engineering; Physics; Mathematics; Optics; Engineering; Thermodynamics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001147811,0.0001318848,0.0001637965,0.00007263541,0.00002799537,0.00001622999,0.00006980287,0.00005926587,0.00002301307],"category_scores_gemma":[0.00001284948,0.0001314902,0.00003269914,0.0001084222,0.00001499114,0.00008932185,0.00003531741,0.00006276001,0.000006741257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001302131,"about_ca_system_score_gemma":0.000002953239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003081711,"about_ca_topic_score_gemma":0.000001019588,"domain_scores_codex":[0.9994019,0.000009588256,0.0001354011,0.00009655779,0.00009902155,0.0002575561],"domain_scores_gemma":[0.9996173,0.00002850388,0.00002205412,0.0001460049,0.00002949894,0.0001565756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003769655,0.00002932061,0.000002352789,0.00003826622,0.00009901127,3.879455e-7,0.0008973055,0.007901185,0.2705082,0.6693929,0.002063254,0.04903013],"study_design_scores_gemma":[0.001291844,0.0004106337,0.001908969,0.0001057964,0.0001116151,0.000009225842,0.0005584596,0.1072256,0.1007467,0.01642549,0.7692465,0.001959257],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9413878,0.001091053,0.02208906,0.000132002,0.001137771,0.0001860139,0.00004240963,0.0005169924,0.03341686],"genre_scores_gemma":[0.9982234,0.0001203564,0.001020579,0.0002118799,0.0002562575,0.000004917626,0.000005833802,0.00007779225,0.00007901647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7671832,"threshold_uncertainty_score":0.5362015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01861457127925828,"score_gpt":0.2397554176351349,"score_spread":0.2211408463558766,"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."}}