{"id":"W4411226278","doi":"10.1021/acssuschemeng.5c02403","title":"Controlling Selectivity of Surface Electro-Precipitation (SEP) in the Recovery of Rare Earth Elements (REE) from Aqueous Feedstocks","year":2025,"lang":"en","type":"article","venue":"ACS Sustainable Chemistry & Engineering","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Norges Forskningsråd","keywords":"Precipitation; Selectivity; Rare earth; Aqueous solution; Earth (classical element); Rare-earth element; Chemistry; Environmental chemistry; Inorganic chemistry; Chemical engineering; Environmental science; Mineralogy; Organic chemistry; Catalysis; Meteorology","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":[0.0003213942,0.0003672634,0.0002676765,0.000129978,0.0001373312,0.0002832213,0.0002882619,0.000296342,0.0005033485],"category_scores_gemma":[0.000391395,0.0001926872,0.0001568908,0.0001341184,0.0003211309,0.000299931,0.000291442,0.0003937178,0.0002602735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002047885,"about_ca_system_score_gemma":0.0001949412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004945655,"about_ca_topic_score_gemma":0.001012085,"domain_scores_codex":[0.9997697,0.0000309762,0.0000198961,0.00005701722,0.00006779549,0.00005449984],"domain_scores_gemma":[0.9998367,0.00007873939,0.00002921312,0.00000990554,0.00003480992,0.00001065839],"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":[0.00004312709,0.00001117356,0.0001020881,0.00003808236,0.000002624803,0.00002311337,0.00001334114,0.0001210348,0.9984144,0.00006002972,0.00003444614,0.001136627],"study_design_scores_gemma":[0.000003449081,0.00003248914,0.000214816,0.000001107074,0.000002246617,0.00001608554,0.000006873841,0.0009702429,0.9985529,0.00001439553,0.0001837658,0.000001683274],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895934,0.0004332635,0.00847191,0.0000896157,0.00002029943,0.00002950177,0.00009648401,0.00008058912,0.001184843],"genre_scores_gemma":[0.9968981,0.0003267278,0.00222781,0.00003018301,0.000005347505,0.00001208908,0.00004111623,0.00001143507,0.0004472894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005033485,"threshold_uncertainty_score":0.001699686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003275482690076075,"score_gpt":0.2072996286273243,"score_spread":0.2040241459372482,"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."}}