{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002295653,0.0002214865,0.0001894489,0.00009202036,0.0000449838,0.00003019044,0.00003969622,0.0001085872,0.0006963137],"category_scores_gemma":[0.000006100737,0.0001764203,0.00003129088,0.00007327406,0.000015697,0.000256064,0.000002883564,0.0002699209,0.00008538535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006866669,"about_ca_system_score_gemma":0.00005764628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002511874,"about_ca_topic_score_gemma":0.00007658127,"domain_scores_codex":[0.9990829,0.00001181773,0.0002476246,0.0001652295,0.0003346404,0.0001577627],"domain_scores_gemma":[0.9995019,0.0000149462,0.00005866505,0.000129726,0.0001875921,0.0001071249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001478051,0.0005928198,0.01886839,0.009489925,0.001968754,0.0003056867,0.002245167,0.007598603,0.007814571,0.0008642097,0.7608156,0.1892885],"study_design_scores_gemma":[0.0001138379,0.00001926143,0.01369941,0.00004008035,0.00008302074,0.0001643144,0.000046332,0.00004075369,0.0004464044,0.000001637687,0.9850785,0.0002664882],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001164786,0.002172197,0.01369961,0.00001645414,0.0009183983,0.0001446987,0.000006915424,0.0005312721,0.9813457],"genre_scores_gemma":[0.8997746,0.01028199,0.0007969143,0.00004090329,0.0009252653,0.00002406849,0.000174496,0.0001265504,0.08785521],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8986098,"threshold_uncertainty_score":0.7624147,"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."}}