{"id":"W2620433773","doi":"10.1016/j.jenvman.2017.04.062","title":"Recovery of lithium from the effluent obtained in the process of spent lithium-ion batteries recycling","year":2017,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":86,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"China Postdoctoral Science Foundation; Central South University; National Natural Science Foundation of China","keywords":"Lithium (medication); Raw material; Adsorption; Chemistry; Effluent; Corrosion; Sodium; Ion; Precipitation; Sieve (category theory); Lithium vanadium phosphate battery; Inorganic chemistry; Impurity; Materials science; Nuclear chemistry; Waste management; Electrode; Electrolyte; Organic chemistry; Mathematics","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":[0.0002498938,0.000383215,0.000548828,0.0007589145,0.0007240408,0.001001766,0.0004720537,0.0007116717,0.001745955],"category_scores_gemma":[0.0003632945,0.0001534642,0.0006696273,0.0005736314,0.0002966942,0.000622809,0.0004407722,0.0004474961,0.0006081843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003165742,"about_ca_system_score_gemma":0.0004915518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001550798,"about_ca_topic_score_gemma":0.002132537,"domain_scores_codex":[0.999828,0.00001934701,0.00001762292,0.0000177761,0.00006132235,0.00005595127],"domain_scores_gemma":[0.9999127,0.00001699669,0.00001162823,0.000009664548,0.00003856709,0.00001027504],"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":[0.001348899,0.0001485766,0.002411098,0.0003280215,0.00003681799,0.0005829714,0.0002870815,0.0006757487,0.9770159,0.0002573313,0.0003038582,0.01660366],"study_design_scores_gemma":[0.00001586579,0.0002302001,0.001791833,0.00002592335,0.00003895087,0.000181697,0.0001339756,0.001545847,0.9947404,0.00008623402,0.001196002,0.00001310254],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952108,0.0005713107,0.002259484,0.00006804309,0.00002279893,0.00001192129,0.0001944064,0.00006819874,0.001593019],"genre_scores_gemma":[0.9936407,0.0004630291,0.0009528025,0.00003483289,0.000005536012,0.000007067013,0.0002981039,0.00002270672,0.004575177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001745955,"threshold_uncertainty_score":0.005840838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0118042799123049,"score_gpt":0.2422373322207935,"score_spread":0.2304330523084886,"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."}}