{"id":"W4402564300","doi":"10.1016/j.jece.2024.114171","title":"Highly efficient recovery of lithium from spent ternary NCM cathode materials via a selective chlorination method","year":2024,"lang":"en","type":"article","venue":"Journal of environmental chemical engineering","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Education and Child Care","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Ternary operation; Lithium (medication); Cathode; Materials science; Inorganic chemistry; Chemistry; Metallurgy; Computer science; Medicine; Physical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001687105,0.0001483427,0.0002525424,0.0001556035,0.000009645567,0.00003048759,0.00009485326,0.00008568812,0.0001719741],"category_scores_gemma":[0.00002549975,0.0001421977,0.00008904856,0.0001110604,0.00001113411,0.0002104803,0.00002109779,0.0002335833,0.00001117446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003050956,"about_ca_system_score_gemma":0.000009018797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003534709,"about_ca_topic_score_gemma":5.729845e-8,"domain_scores_codex":[0.9990059,0.00001175433,0.0004964196,0.0001173763,0.0002452268,0.0001232967],"domain_scores_gemma":[0.9996223,0.0001418819,0.00008244484,0.00007124086,0.00001086852,0.00007125412],"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":[0.00002279741,0.00003809811,0.000004047777,0.00007073375,0.0001105847,0.00001351498,0.0001977034,0.1971186,0.8011982,0.00001181535,0.00007920004,0.001134672],"study_design_scores_gemma":[0.0001319798,0.00003708732,0.0003415715,0.0001163045,0.00005914314,0.00006309459,0.00002122413,0.1119421,0.8856667,0.00003768648,0.001461782,0.0001213693],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8799024,0.001148984,0.117547,0.00002462559,0.0009979196,0.0000628936,0.00005565518,0.00006146195,0.0001991197],"genre_scores_gemma":[0.9896006,0.0001510031,0.009908639,0.000008569282,0.0002371715,0.000004108628,0.00001561588,0.00003367922,0.00004060098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1096982,"threshold_uncertainty_score":0.5798653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005333099407917976,"score_gpt":0.2174579363917871,"score_spread":0.2121248369838691,"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."}}