{"id":"W1622142819","doi":"10.1007/s10967-015-4447-0","title":"Gross actinide preconcentration using phosphonate-based ligand and cloud point extraction","year":2015,"lang":"en","type":"article","venue":"Journal of Radioanalytical and Nuclear Chemistry","topic":"Radioactive contamination and transfer","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Actinide; Nitric acid; Chemistry; Extraction (chemistry); Analyte; Nuclear reprocessing; Sample preparation; Chromatography; Cloud point; Radiochemistry; Nuclear chemistry; Plutonium; Inorganic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003328139,0.0005089905,0.0004125735,0.0005550367,0.0004803526,0.0004642821,0.0004734427,0.0004687296,0.0007801942],"category_scores_gemma":[0.0003548088,0.000247115,0.0002628468,0.0004363984,0.0004308583,0.0002383787,0.0004028311,0.0005545801,0.0008403407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006339185,"about_ca_system_score_gemma":0.0008013402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003428191,"about_ca_topic_score_gemma":0.008720909,"domain_scores_codex":[0.9995498,0.00003974781,0.00002206105,0.0001254096,0.0001993868,0.00006362801],"domain_scores_gemma":[0.9998753,0.0000235949,0.00001783109,0.00001926875,0.00005238399,0.00001159054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004865693,0.000008864205,0.0002025453,0.00002415442,0.000003829578,0.00002488986,0.00001903744,0.0001743878,0.9953468,0.0001103698,0.0000299799,0.00400651],"study_design_scores_gemma":[0.00000213471,0.00003958397,0.0004520634,0.000002955915,0.000004668046,0.00003991415,0.000008967636,0.0006831489,0.9977773,0.00004205213,0.0009430511,0.00000417391],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8294373,0.001888539,0.1561978,0.0001682808,0.0000996563,0.0003609823,0.0006077224,0.0008578396,0.01038183],"genre_scores_gemma":[0.8907453,0.001669282,0.09341916,0.0001904663,0.00001617137,0.0001390566,0.0009076272,0.0001444109,0.0127685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003428191,"threshold_uncertainty_score":0.006816447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01672440132603915,"score_gpt":0.2432242611984458,"score_spread":0.2264998598724066,"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."}}