{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0008884118,0.001047107,0.0007052635,0.0003311565,0.0008720905,0.001116855,0.0004877029,0.0005783593,0.000006030883],"category_scores_gemma":[0.0005864642,0.0009599427,0.0002210446,0.001681403,0.0001721507,0.001989935,0.0001363336,0.001260682,0.000009157714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007427713,"about_ca_system_score_gemma":0.0003879614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001828709,"about_ca_topic_score_gemma":0.00001672123,"domain_scores_codex":[0.9955394,0.00006542354,0.0009707609,0.001227562,0.0006643154,0.001532565],"domain_scores_gemma":[0.9969678,0.0008405092,0.0002672072,0.0006178216,0.0009583815,0.0003482749],"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":[0.0001620159,0.00007920938,0.00006889422,0.007627278,0.0003774341,0.00008366611,0.00220725,0.07469242,0.9085944,0.00008959969,0.001914905,0.004102933],"study_design_scores_gemma":[0.0007850546,0.00008748296,0.0003665092,0.0004252602,0.0002567131,0.000133883,0.01036183,0.03959658,0.9439808,0.001099139,0.001842979,0.001063787],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773322,0.003240858,0.01559735,0.0004505184,0.0003121112,0.001644235,0.00007876715,0.0009802923,0.0003637038],"genre_scores_gemma":[0.9954854,0.001756899,0.0000254573,0.0001085536,0.0007102162,0.001004595,0.0004165245,0.0003055363,0.0001868225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03538639,"threshold_uncertainty_score":0.9999201,"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."}}