{"id":"W3200056033","doi":"10.2172/1819366","title":"International Interlaboratory Compilation of Trace Element Concentrations in the CUP-2 Uranium Ore Concentrate Standard","year":2021,"lang":"en","type":"report","venue":"","topic":"Radioactive element chemistry and processing","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Canadian Nuclear Safety Commission; Health Canada; Canadian Nuclear Laboratories; National Research Council Canada","funders":"Los Alamos National Laboratory; Atomic Energy of Canada Limited; National Nuclear Security Administration; Canadian Nuclear Laboratories; Public Safety Canada; U.S. Department of Energy","keywords":"Uranium; Trace element; Uranium ore; TRACE (psycholinguistics); Context (archaeology); Mineralogy; Chemistry; Environmental science; Geology; Geochemistry; Metallurgy; Materials science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006525455,0.0003085859,0.0004434172,0.00004530516,0.00008441163,0.0001380736,0.0004720179,0.0002519646,0.007461132],"category_scores_gemma":[0.0001593185,0.0002540672,0.00014,0.0002226867,0.0001312124,0.0001934731,0.00004675094,0.0006619134,0.000001541984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006854997,"about_ca_system_score_gemma":0.001789441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003348278,"about_ca_topic_score_gemma":0.00006541181,"domain_scores_codex":[0.9970772,0.0000676135,0.0009583792,0.0004272368,0.001211061,0.0002584635],"domain_scores_gemma":[0.9976307,0.0001797842,0.0007160206,0.0003587006,0.001066243,0.00004855361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001015156,0.002073464,0.1517026,0.009098156,0.003267074,0.0004912037,0.01272355,0.0009038241,0.6300102,0.003220729,0.1428071,0.04268698],"study_design_scores_gemma":[0.001026908,0.00001966082,0.0004170375,0.0009276432,0.0001254669,0.00003612022,0.006873526,0.0002549335,0.4383996,0.0000399876,0.5514862,0.0003929725],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04129865,0.003000979,0.001601117,0.0009962644,0.000986065,0.0003189919,0.002565804,0.00006094696,0.9491712],"genre_scores_gemma":[0.9909724,0.001663218,0.0002753679,0.00007154289,0.000643591,0.00005040998,0.003330904,0.00002945683,0.002963132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9496737,"threshold_uncertainty_score":0.9999912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03220466858043156,"score_gpt":0.3211870857476791,"score_spread":0.2889824171672475,"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."}}