{"id":"W4409742657","doi":"10.1002/cjce.25736","title":"Selective extraction of Al <sup>3+</sup> from the leaching solution of cathode materials of spent ternary lithium‐ion batteries by using <scp>D2EHPA</scp> ‐ <scp>TBP</scp> ‐kerosene","year":2025,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Leaching (pedology); Ternary operation; Kerosene; Cathode; Materials science; Extraction (chemistry); Ion; Lithium (medication); Inorganic chemistry; Nuclear chemistry; Chemistry; Environmental science; Physical chemistry; Chromatography; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001287418,0.0004280163,0.0003621601,0.000281761,0.0002059546,0.0003905246,0.0003306646,0.0003297397,0.0004442819],"category_scores_gemma":[0.0001606026,0.000208611,0.0002671731,0.000249363,0.0002074392,0.0004603101,0.0004021805,0.0002549687,0.0003230571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002203215,"about_ca_system_score_gemma":0.0003460251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00074541,"about_ca_topic_score_gemma":0.001375941,"domain_scores_codex":[0.9998916,0.00001331441,0.00001067007,0.00002404493,0.00003806636,0.0000222657],"domain_scores_gemma":[0.9999502,0.000009734035,0.0000111972,0.000004231671,0.00001891927,0.000005743607],"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":[0.00002054587,0.000002953009,0.00006478035,0.00004370268,0.000002654383,0.00002984405,0.000007413174,0.00003527684,0.9979443,0.00002127972,0.00001657021,0.001810741],"study_design_scores_gemma":[0.000003054987,0.00001497228,0.0002275437,0.000001809533,0.000006468968,0.00004562733,0.000007859107,0.0003368384,0.998904,0.00000932824,0.0004398232,0.000002705663],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788076,0.00146413,0.01774965,0.00008998074,0.0000239102,0.00005179009,0.0001836122,0.000212224,0.001417157],"genre_scores_gemma":[0.9825311,0.001068547,0.0135538,0.00007111836,0.0000108951,0.00004727935,0.0002124906,0.00005220282,0.002452482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00074541,"threshold_uncertainty_score":0.001598597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169332490291426,"score_gpt":0.2315970247477644,"score_spread":0.2199036998448501,"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."}}