{"id":"W4402786318","doi":"10.1021/acssuschemeng.4c02488","title":"Sustainable and Clean Process for Li<sub>2</sub>CO<sub>3</sub> and Co<sub>3</sub>O<sub>4</sub> Recovery from the Spent Lithium-Ion Battery via the Waste Graphite-Assisted Selective Sulfation Process","year":2024,"lang":"en","type":"article","venue":"ACS Sustainable Chemistry & Engineering","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Graduate School, Chongqing University; Natural Science Foundation of Chongqing; National Natural Science Foundation of China; China Association for Science and Technology","keywords":"Waste management; Lithium (medication); Battery (electricity); Process (computing); Materials science; Chemistry; Inorganic chemistry; Engineering","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":[0.0000792279,0.0003408494,0.0002580131,0.000226777,0.00021521,0.0002438593,0.000231328,0.0004008242,0.0007915949],"category_scores_gemma":[0.00007635843,0.0001481503,0.0003732523,0.0001797539,0.0001805923,0.0004360668,0.0003732074,0.0003325107,0.0003261981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001749691,"about_ca_system_score_gemma":0.0003074571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004063418,"about_ca_topic_score_gemma":0.001150214,"domain_scores_codex":[0.9999251,0.000007012264,0.000004493947,0.00001112273,0.00003459955,0.00001761841],"domain_scores_gemma":[0.9999738,0.000002840572,0.000006428626,0.000003560515,0.000008583842,0.000004753091],"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":[0.00009619592,0.00003211576,0.0003959801,0.0002292734,0.00001337902,0.000138072,0.00004418251,0.001195396,0.9845688,0.0007238147,0.0002568804,0.0123058],"study_design_scores_gemma":[0.00001109571,0.000152205,0.0009105462,0.000006922849,0.0000200845,0.0001250772,0.00006217453,0.006602161,0.9876438,0.000282084,0.004171465,0.00001236131],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.954384,0.004195792,0.03469529,0.0003298151,0.00009360056,0.00007429036,0.0002223455,0.0004735987,0.00553117],"genre_scores_gemma":[0.9856147,0.001345035,0.009393012,0.0000626386,0.00001165087,0.00002705804,0.0001278793,0.00002413634,0.003393986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007915949,"threshold_uncertainty_score":0.002648175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006876792858376312,"score_gpt":0.2221987132779153,"score_spread":0.215321920419539,"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."}}