{"id":"W4401254648","doi":"10.1080/09593330.2024.2387374","title":"Mass balance and economic study of a treatment chain for nickel, cobalt and rare earth elements recovery from Ni-MH batteries","year":2024,"lang":"en","type":"article","venue":"Environmental Technology","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nickel; Cobalt; Nitric acid; Chemistry; Sulfuric acid; Phosphoric acid; Leaching (pedology); Nuclear chemistry; Raffinate; Metal; Metallurgy; Inorganic chemistry; Materials science; Extraction (chemistry); Environmental science; Chromatography","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":[0.0005839529,0.0003443612,0.0008118675,0.0005148879,0.0004415165,0.0007480579,0.0006569436,0.0005694648,0.001810384],"category_scores_gemma":[0.0005929029,0.0001890942,0.0004663446,0.0005548431,0.0002310654,0.0008213077,0.0003324131,0.0003588339,0.0005775983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008470498,"about_ca_system_score_gemma":0.000574471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002616314,"about_ca_topic_score_gemma":0.002724529,"domain_scores_codex":[0.9996006,0.00004222366,0.00002403263,0.00005793525,0.0002317934,0.00004344566],"domain_scores_gemma":[0.9998537,0.00003111144,0.00002090128,0.00001125542,0.00007288477,0.00001022264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001206224,0.0004508587,0.005790383,0.0006497431,0.0000420986,0.0003128295,0.00009396832,0.02260504,0.9426121,0.0007554531,0.0001769745,0.02530424],"study_design_scores_gemma":[0.00004482065,0.002227812,0.009873219,0.00002807749,0.00009270534,0.0001685294,0.0001893911,0.06607003,0.9171168,0.0003546918,0.003804939,0.00002896338],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913674,0.0005352492,0.006060846,0.00004017525,0.00001109387,0.00008397664,0.0002670236,0.00004646604,0.001587783],"genre_scores_gemma":[0.9912559,0.0005530175,0.005055932,0.000009841464,0.000006157426,0.0000851061,0.0002913851,0.00001945264,0.002723238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002616314,"threshold_uncertainty_score":0.006145835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00682145837743204,"score_gpt":0.2166289742830205,"score_spread":0.2098075159055884,"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."}}