{"id":"W2931016522","doi":"10.1016/j.seppur.2019.04.016","title":"Highly efficient extraction of rare earth elements and others ions from green phosphoric acid medium using TMSEDTA@GO@Fe3O4 core-shell","year":2019,"lang":"en","type":"article","venue":"Separation and Purification Technology","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hôpital Saint-François d'Assise; Université Laval","funders":"FP7 Energy; Chung Hua University","keywords":"Phosphoric acid; Extraction (chemistry); Graphene; Materials science; Oxide; Nanoparticle; Raman spectroscopy; Chemical engineering; Earth (classical element); Chemistry; Inorganic chemistry; Nuclear chemistry; Nanotechnology; Metallurgy; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0000875388,0.0002949886,0.0001987233,0.0001931673,0.0001686677,0.0001591392,0.00024334,0.0002833998,0.0007777743],"category_scores_gemma":[0.00009479388,0.0001592365,0.0002229656,0.0001184586,0.0001313378,0.0003109044,0.0003325913,0.000319081,0.0003964538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001600341,"about_ca_system_score_gemma":0.0001933366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007163788,"about_ca_topic_score_gemma":0.001852716,"domain_scores_codex":[0.9999342,0.000004090176,0.000003878496,0.00001535201,0.0000266533,0.00001573551],"domain_scores_gemma":[0.9999776,0.000003969743,0.000005344982,0.000002368038,0.000006126498,0.000004655321],"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":[0.00002837344,0.000004600202,0.00005335283,0.00004984003,0.000002807589,0.00005283968,0.0000139474,0.00007144969,0.9972377,0.0001111081,0.00007898253,0.002294819],"study_design_scores_gemma":[0.000003569222,0.00002575632,0.0001957881,0.000002001762,0.000004329819,0.00006014739,0.000007824596,0.0007754156,0.9977561,0.00003225134,0.001133063,0.000003844871],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9692189,0.001120102,0.02378657,0.000176159,0.00005233936,0.00004047158,0.0002353012,0.0005658859,0.004804288],"genre_scores_gemma":[0.9798451,0.000561233,0.01270354,0.00007451424,0.000009824465,0.00002420759,0.0002429102,0.00006007051,0.006478597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007777743,"threshold_uncertainty_score":0.002601922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01567440252690936,"score_gpt":0.2700206103308419,"score_spread":0.2543462078039325,"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."}}