{"id":"W4395957061","doi":"10.1016/j.jhazmat.2024.134472","title":"Maximizing resource recovery: A green and economic strategy for lithium extraction from spent ternary batteries","year":2024,"lang":"en","type":"article","venue":"Journal of Hazardous Materials","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"National Natural Science Foundation of China","keywords":"Leachate; Lithium (medication); Ternary operation; Extraction (chemistry); Lithium carbonate; Leaching (pedology); Chemistry; Inorganic chemistry; Materials science; Ion; Environmental science; Environmental chemistry; Chromatography; Computer science; Organic 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":[0.0003107524,0.0003934908,0.0003866137,0.0004881467,0.0005307576,0.001440656,0.0006133211,0.0008650247,0.002506497],"category_scores_gemma":[0.0005311433,0.0001802934,0.0003023107,0.0004668852,0.0006212107,0.001488616,0.0009608663,0.0006060743,0.000494681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00102752,"about_ca_system_score_gemma":0.001001385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007165014,"about_ca_topic_score_gemma":0.001996323,"domain_scores_codex":[0.9998769,0.00001803535,0.000005878316,0.00001962612,0.00004353341,0.0000360758],"domain_scores_gemma":[0.9999027,0.00003737446,0.00001793222,0.000009758454,0.00002021615,0.00001196316],"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":[0.0008230679,0.0006586703,0.002034168,0.0008628636,0.00007914472,0.0008325329,0.0002077021,0.1153955,0.455316,0.219715,0.004998793,0.1990765],"study_design_scores_gemma":[0.0001055721,0.0005915451,0.0009036931,0.0001320548,0.000100363,0.0004793682,0.0005345923,0.369256,0.4902513,0.1162607,0.02130312,0.00008172931],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6197423,0.008061511,0.2908889,0.007000926,0.0002613657,0.0002293896,0.0002844418,0.0005039316,0.07302726],"genre_scores_gemma":[0.9797719,0.001362873,0.01234719,0.000118026,0.00002043445,0.00003267455,0.00003384002,0.0000201932,0.006292836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002506497,"threshold_uncertainty_score":0.008385062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02215630400481624,"score_gpt":0.2712745119591261,"score_spread":0.2491182079543099,"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."}}