{"id":"W4400037953","doi":"10.1007/s40831-024-00871-w","title":"NdFeB Magnets Recycling via High-Pressure Selective Leaching and the Impurities Behaviors","year":2024,"lang":"en","type":"article","venue":"Journal of Sustainable Metallurgy","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"High Value Manufacturing Catapult; University of Warwick","keywords":"Leaching (pedology); Impurity; Leachate; Neodymium magnet; Dissolution; Materials science; Magnet; Chemistry; Metallurgy; Environmental science; Environmental 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":[0.000279968,0.0003599246,0.0002337054,0.0004167338,0.000156612,0.0002116017,0.0002832572,0.0003240618,0.003525323],"category_scores_gemma":[0.0002663895,0.0001810435,0.0002677415,0.0002783973,0.0001622856,0.0004038346,0.0001860774,0.0004823458,0.0006860351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002791654,"about_ca_system_score_gemma":0.0001070968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000575831,"about_ca_topic_score_gemma":0.001236609,"domain_scores_codex":[0.99983,0.00001183158,0.00001051795,0.00003361066,0.00007752834,0.00003661034],"domain_scores_gemma":[0.9998939,0.00002383001,0.00003343866,0.000007600825,0.00003398864,0.000007192756],"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":[0.0001567185,0.00004384309,0.0005563172,0.0003153462,0.00001722513,0.0001330211,0.00003592333,0.0006577779,0.9837866,0.0002902732,0.000802136,0.0132047],"study_design_scores_gemma":[0.000008721713,0.000120682,0.001818622,0.00001562862,0.00001425159,0.00008342593,0.00003523221,0.003080888,0.9916141,0.0001094677,0.003085406,0.00001344577],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719829,0.003512682,0.01578083,0.000515943,0.0001075611,0.00006254327,0.001188769,0.0007156859,0.006133034],"genre_scores_gemma":[0.9861567,0.001531435,0.00622752,0.0001087599,0.0000144011,0.00004636353,0.0006451461,0.00005397099,0.005215623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003525323,"threshold_uncertainty_score":0.01179338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003582672085076337,"score_gpt":0.2212020291654052,"score_spread":0.2176193570803289,"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."}}