{"id":"W2974449651","doi":"10.1007/s10967-019-06767-4","title":"A novel chronometry technique for dating irradiated uranium fuels using Cm isotopic ratios","year":2019,"lang":"en","type":"article","venue":"Journal of Radioanalytical and Nuclear Chemistry","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Nuclear Laboratories","funders":"","keywords":"Irradiation; Radiochemistry; Yield (engineering); Isotope; Uranium; Chemistry; Environmental science; Materials science; Nuclear physics; Physics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003850822,0.0001255152,0.0003425671,0.00003924391,0.00007666013,0.00003615662,0.000224381,0.0001294585,0.003436511],"category_scores_gemma":[0.0001337561,0.0001081208,0.0001879782,0.0001842179,0.0001333411,0.0001874978,0.00009544117,0.0002430054,0.00001817181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001981193,"about_ca_system_score_gemma":0.00002296796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007779921,"about_ca_topic_score_gemma":5.938888e-7,"domain_scores_codex":[0.9989627,0.00001323233,0.0004259569,0.0001989527,0.0001746513,0.0002244935],"domain_scores_gemma":[0.9993049,0.00009833196,0.0002757182,0.0001626293,0.00002580876,0.000132624],"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":[0.00003976176,0.00007592125,0.006555003,0.0000521015,0.0001078551,0.000005910842,0.00003616543,0.0002532555,0.9922236,0.00002629929,0.0003316712,0.0002924096],"study_design_scores_gemma":[0.01621595,0.002113149,0.06729634,0.000598597,0.003590392,0.009247132,0.002559644,0.4363005,0.3672741,0.002316265,0.08890549,0.00358245],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991568,0.00004928643,0.004185572,0.0002357854,0.00005407669,0.0001651304,0.00000396049,0.000007471224,0.003730717],"genre_scores_gemma":[0.9802786,0.00001389519,0.01901028,0.0001652063,0.0001345999,0.000001544248,0.000001211783,0.00001884619,0.0003758158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6249495,"threshold_uncertainty_score":0.9974745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01041352095127473,"score_gpt":0.2342874941266506,"score_spread":0.2238739731753758,"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."}}