{"id":"W2915204566","doi":"10.1299/jsmeicone.2015.23._icone23-1_104","title":"ICONE23-1198 FUELLING STUDY USING BURNABLE NEUTRON ABSORBERS : MITIGATING FUELLING TRANSIENTS AND IMPROVING POWER COMPLIANCE MARGIN DURING REFUELLING","year":2015,"lang":"en","type":"article","venue":"The Proceedings of the International Conference on Nuclear Engineering (ICONE)","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Nuclear engineering; Europium; Enriched uranium; Uranium oxide; Neutron poison; Materials science; Neutron capture; Neutron; Environmental science; Neutron temperature; Uranium; Nuclear physics; Engineering; Physics; Metallurgy","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":[0.0002803884,0.0002251501,0.0002119939,0.00006739249,0.0002719868,0.0002475558,0.0006040302,0.00003188256,0.00003701554],"category_scores_gemma":[0.00001377598,0.0001805192,0.00008454864,0.0001581131,0.00006439788,0.0002523676,0.0001882632,0.0004260156,0.000006803399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000669518,"about_ca_system_score_gemma":0.00002254593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001737452,"about_ca_topic_score_gemma":4.192458e-7,"domain_scores_codex":[0.9987206,0.000007870309,0.0003376222,0.0003098798,0.0003599879,0.0002639653],"domain_scores_gemma":[0.9991845,0.00003085779,0.0002726547,0.0001470598,0.0002759901,0.00008887808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009313599,0.0002770388,0.005078654,0.0001080163,0.0002786413,6.844481e-7,0.006750214,0.03302077,0.7879805,0.1657691,0.00001266637,0.0006305682],"study_design_scores_gemma":[0.002108146,0.0001916439,0.005554298,0.001094257,0.0001545764,0.00001192218,0.02270728,0.9348592,0.02557111,0.006687543,0.0002241007,0.0008359939],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956677,0.00001464338,0.0001906577,0.0002819357,0.0001937967,0.0003308193,0.000008275994,0.00004910411,0.003263075],"genre_scores_gemma":[0.9989639,0.000003375128,0.00069608,0.00001643738,0.0001561748,0.0000102468,9.191657e-7,0.00005319179,0.00009968863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9018384,"threshold_uncertainty_score":0.7361361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04331230933477558,"score_gpt":0.2499272162965177,"score_spread":0.2066149069617421,"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."}}