{"id":"W4385810208","doi":"10.1021/acs.iecr.3c01547","title":"Separation of Praseodymium and Neodymium from Heavy Rare Earth Elements Using Extractant-Impregnated Surfaces Loaded with 2-Ethylhexyl Phosphonic Acid-mono-2-ethylhexyl Ester (PC88A)","year":2023,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Praseodymium; Neodymium; Chemistry; Extraction (chemistry); Yield (engineering); Solvent; Leaching (pedology); Lanthanide; Adsorption; Impurity; Inorganic chemistry; Chromatography; Materials science; Organic chemistry; Metallurgy","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":[0.0001378684,0.0004635077,0.0003260209,0.0002347291,0.0001248706,0.0002867051,0.0003009969,0.0004595577,0.0005126484],"category_scores_gemma":[0.0001398125,0.0002486283,0.0003951142,0.0001569262,0.0001610668,0.0003391511,0.0002707914,0.0003634639,0.0004397505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000111628,"about_ca_system_score_gemma":0.0001265162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002530603,"about_ca_topic_score_gemma":0.0007057384,"domain_scores_codex":[0.9998748,0.00001044436,0.000008632435,0.00002730905,0.00005679944,0.0000219358],"domain_scores_gemma":[0.9999373,0.00001535531,0.00002027617,0.000006559114,0.00001253216,0.000008049088],"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":[0.00001180587,0.000003455032,0.00004899062,0.00002164112,0.00000279773,0.00002869981,0.000004689231,0.00002385275,0.998701,0.00001260671,0.000007080097,0.001133486],"study_design_scores_gemma":[0.000001639898,0.00006414219,0.0006731073,0.000001345003,0.000004946006,0.0001028178,0.000008647618,0.0003574584,0.9984109,0.000005116425,0.000366465,0.000003232984],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830387,0.001574272,0.01368177,0.00006330688,0.00003228807,0.00003180578,0.0001257793,0.0002367466,0.001215259],"genre_scores_gemma":[0.9704836,0.001432334,0.0233151,0.00005852694,0.00001508947,0.00002679188,0.0002854374,0.00005583465,0.00432728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005126484,"threshold_uncertainty_score":0.001715004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0830088177511597,"score_gpt":0.3388378151720436,"score_spread":0.2558289974208839,"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."}}