{"id":"W4412603258","doi":"10.1016/j.jece.2025.118250","title":"Impurity-repurposing roasting-leaching strategy for upcycling spent LiMn2O4 into Na-rich Mn/Fe-based P2 layer cathodes and recoverable lithium resources","year":2025,"lang":"en","type":"article","venue":"Journal of environmental chemical engineering","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Center for Autonomous Systems and Technologies; Natural Science Foundation of Chongqing; China Postdoctoral Science Foundation","keywords":"Leaching (pedology); Roasting; Impurity; Repurposing; Cathode; Materials science; Layer (electronics); Lithium (medication); Metallurgy; Chemical engineering; Nuclear chemistry; Chemistry; Waste management; Nanotechnology; Environmental science","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":[0.0003076679,0.0002109896,0.000281798,0.0001579558,0.00009175366,0.0001185047,0.0001219018,0.0001214454,0.00001776099],"category_scores_gemma":[0.0001209135,0.0002171757,0.00009749688,0.00009969889,0.00002223154,0.0003238164,0.00003002267,0.0004519555,9.939079e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002192863,"about_ca_system_score_gemma":0.00001754757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002298857,"about_ca_topic_score_gemma":5.459844e-7,"domain_scores_codex":[0.9988747,0.0000127403,0.0005405964,0.0001665964,0.0001729178,0.0002325106],"domain_scores_gemma":[0.9993864,0.0002760309,0.0001143204,0.00009127677,0.00001596708,0.0001159556],"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":[0.00003177079,0.00003784501,0.0001817971,0.0002402923,0.00003979,0.000003507773,0.0001682741,0.3208799,0.6756464,0.00001650703,0.00007409878,0.002679864],"study_design_scores_gemma":[0.0008652242,0.00007847429,0.0002849193,0.0003862786,0.00007075518,0.00004729821,0.0002575759,0.2586746,0.7311016,0.0001505789,0.007757694,0.0003250437],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8881741,0.002990213,0.108016,0.00007275502,0.000262698,0.0001166164,0.000006347882,0.00006790917,0.0002933376],"genre_scores_gemma":[0.9818953,0.0001393081,0.0176171,0.00005099169,0.0001527082,0.000008143311,0.000006013919,0.00003482469,0.00009559334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0937212,"threshold_uncertainty_score":0.8856169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01014049059106589,"score_gpt":0.2385123355939897,"score_spread":0.2283718450029238,"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."}}