{"id":"W2942712098","doi":"10.2172/1509230","title":"Uranium, Extraction and Transport with European Enrichment","year":2012,"lang":"en","type":"report","venue":"","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Energy Technology Laboratory; Transport Canada","keywords":"Uranium; Enriched uranium; Centrifuge; Raw material; Extraction (chemistry); Environmental science; Waste management; Chemistry; Radiochemistry; Materials science; Engineering; Metallurgy; Chromatography; Nuclear physics; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009762946,0.001384199,0.000639814,0.001952271,0.001764686,0.001542029,0.0008983972,0.001229702,0.008618758],"category_scores_gemma":[0.000873292,0.0004043537,0.0008738734,0.003127598,0.0005541468,0.001496591,0.001870694,0.0008094735,0.005215067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001921934,"about_ca_system_score_gemma":0.00311246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01342468,"about_ca_topic_score_gemma":0.01221864,"domain_scores_codex":[0.997727,0.0001927364,0.0001342438,0.0004731705,0.00106237,0.0004105147],"domain_scores_gemma":[0.999652,0.00002691363,0.00003157879,0.00007789841,0.0001904532,0.00002114236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003371265,0.001460247,0.02485685,0.003410072,0.0003646001,0.003041382,0.001592328,0.02113444,0.3356965,0.02382721,0.05705613,0.5241889],"study_design_scores_gemma":[0.00006834413,0.0004364085,0.0234941,0.0001549586,0.0001349863,0.002014895,0.0002886952,0.001487205,0.5940703,0.001191079,0.3765876,0.00007149635],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.4469499,0.01031978,0.05847565,0.001172315,0.0005251415,0.001793981,0.01685313,0.002928651,0.4609815],"genre_scores_gemma":[0.6477665,0.008987105,0.04854395,0.0005984516,0.0000882911,0.0007275248,0.03637495,0.000675026,0.2562381],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01342468,"threshold_uncertainty_score":0.02883267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03180651600532272,"score_gpt":0.265360056046453,"score_spread":0.2335535400411302,"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."}}