{"id":"W2942567150","doi":"10.2172/1509229","title":"Uranium, Extraction and Transport","year":2012,"lang":"en","type":"report","venue":"","topic":"Radioactive element chemistry and processing","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Energy Technology Laboratory; Transport Canada","keywords":"Uranium; Extraction (chemistry); Environmental science; Chemistry; Materials science; Metallurgy; Chromatography","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":[0.001043561,0.001274437,0.001176533,0.002547898,0.002958795,0.00219157,0.001343006,0.0008110668,0.06736839],"category_scores_gemma":[0.001701996,0.0006787893,0.0008929006,0.002713384,0.0005543734,0.001439304,0.002396746,0.001718376,0.09145173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001762221,"about_ca_system_score_gemma":0.004136157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01456833,"about_ca_topic_score_gemma":0.0154757,"domain_scores_codex":[0.9982911,0.00007751612,0.00006773062,0.0002493024,0.001151737,0.0001626632],"domain_scores_gemma":[0.9993986,0.00004986668,0.00002239996,0.0001933344,0.0003037449,0.00003203751],"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":[0.0004596605,0.0002909148,0.00433258,0.002225565,0.00006729893,0.0007644073,0.0007268084,0.003955129,0.1036312,0.02426556,0.3944943,0.4647865],"study_design_scores_gemma":[0.00001456862,0.00007266189,0.002326611,0.00009524709,0.00001591889,0.0004018812,0.0001223902,0.0005615944,0.08783351,0.002440196,0.9060746,0.00004087535],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05539928,0.007234897,0.1303791,0.001599576,0.002041167,0.006185745,0.1801638,0.02705146,0.589945],"genre_scores_gemma":[0.1354536,0.01080354,0.1160396,0.000849104,0.0003344571,0.003325344,0.1365417,0.01116095,0.5854917],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06736839,"threshold_uncertainty_score":0.2253697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05025915449723376,"score_gpt":0.3111369671019517,"score_spread":0.2608778126047179,"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."}}