{"id":"W4388196664","doi":"10.1016/j.jece.2023.111313","title":"Separation of rare earth elements using chelation-assisted electrodialysis","year":2023,"lang":"en","type":"article","venue":"Journal of environmental chemical engineering","topic":"Membrane-based Ion Separation Techniques","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Chelation; Electrodialysis; Chemistry; Ethylenediaminetetraacetic acid; Membrane; Separation process; Precipitation; Inorganic chemistry; Chromatography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001903077,0.0001429953,0.0002561763,0.0002630228,0.00001666577,0.00001186015,0.0001108197,0.00008825138,0.0001234477],"category_scores_gemma":[0.00002694896,0.0001536865,0.0001324949,0.000310326,0.00001546781,0.0002316847,0.00001971338,0.0001909204,0.000009876462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001543625,"about_ca_system_score_gemma":0.000009918955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.705392e-7,"about_ca_topic_score_gemma":4.252881e-8,"domain_scores_codex":[0.9987394,0.00001096667,0.0006533563,0.00008625379,0.0003358729,0.0001741235],"domain_scores_gemma":[0.999581,0.00004630441,0.0001641227,0.0001132594,0.00001470639,0.00008056971],"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":[0.000008708264,0.00001596838,0.00019068,0.00003353943,0.00005790656,0.000003887659,0.00003086546,0.1441167,0.8550603,0.000004937666,0.00007440062,0.0004021724],"study_design_scores_gemma":[0.0002521903,0.00002484189,0.00109722,0.00003403036,0.00003268099,0.00001896756,0.00001010045,0.2217207,0.7764181,0.000007148319,0.0002757883,0.0001082823],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778899,0.00009180052,0.02165859,0.000007782916,0.00009370535,0.00007832326,0.00001197635,0.000109122,0.00005879833],"genre_scores_gemma":[0.9934496,0.00006792169,0.006301083,0.000005481228,0.00009440815,0.00000307231,0.00002912622,0.00003328831,0.00001600456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07864218,"threshold_uncertainty_score":0.6267153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076614878579574,"score_gpt":0.2348634093384986,"score_spread":0.2240972605527029,"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."}}