{"id":"W4405433836","doi":"10.1016/j.clet.2024.100863","title":"Selective zinc recovery from spent alkaline batteries via multistage leaching with ammonium salts","year":2024,"lang":"en","type":"article","venue":"Cleaner Engineering and Technology","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; Centre National en Électrochimie et en Technologies Environnementales; Innovation and Economic Development Trois Rivières; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Leaching (pedology); Ammonium hydroxide; Carbonate; Ammonium; Ammonium carbonate; Zinc; Hydroxide; Chemistry; Selective leaching; Alkaline battery; Nuclear chemistry; Inorganic chemistry; Environmental science; Organic chemistry; Soil science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002285485,0.0005070219,0.0005466395,0.0003011034,0.000163955,0.0003828349,0.0004379623,0.0003383544,0.0004260206],"category_scores_gemma":[0.0002127019,0.0002804534,0.00039415,0.0002129208,0.0002260954,0.0003741933,0.0005744967,0.0002873673,0.0003450408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000207491,"about_ca_system_score_gemma":0.0002392822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007627386,"about_ca_topic_score_gemma":0.002004555,"domain_scores_codex":[0.999787,0.00002496206,0.00001976602,0.0000403851,0.00008578537,0.00004199386],"domain_scores_gemma":[0.9999244,0.00001470316,0.00002123442,0.000009835017,0.00002042735,0.000009375873],"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":[0.00004750651,0.000007550913,0.0001155007,0.00002814364,0.000003962564,0.00002479481,0.00001229954,0.00009143069,0.9980901,0.00001114085,0.00001052623,0.00155705],"study_design_scores_gemma":[0.00000302019,0.0000475892,0.0003450115,0.00000178212,0.000005396552,0.00002585663,0.000008065193,0.0004176853,0.9987858,0.00000772134,0.0003490326,0.00000317453],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917164,0.0004094739,0.007029915,0.0000344053,0.000010921,0.00003431806,0.0001017351,0.0001083083,0.000554629],"genre_scores_gemma":[0.984008,0.0008993294,0.0104947,0.00003955382,0.00000687278,0.00004587089,0.0001813771,0.00005310086,0.00427112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007627386,"threshold_uncertainty_score":0.00151664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004374917126319208,"score_gpt":0.2005757904703476,"score_spread":0.1962008733440284,"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."}}