{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00001908064,0.00009646066,0.0001297344,0.00007109766,0.0000288879,0.00001503415,0.00003211122,0.0000604418,0.00009065173],"category_scores_gemma":[0.000001485305,0.00009607152,0.0000111077,0.00002095449,0.00004833681,0.00009040438,0.00001727836,0.00004063034,0.00001234887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006929096,"about_ca_system_score_gemma":0.000003640274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009824466,"about_ca_topic_score_gemma":0.00005308888,"domain_scores_codex":[0.9995683,0.000004784029,0.0001485547,0.000172231,0.00002285835,0.00008328767],"domain_scores_gemma":[0.9998514,0.00002573689,0.00002020396,0.00008586887,5.914223e-7,0.00001618318],"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":[0.0002246822,0.0005851099,0.3277567,0.0003737292,0.001629534,0.00003515864,0.003071081,0.002157268,0.5151871,0.001003856,0.002372244,0.1456035],"study_design_scores_gemma":[0.01255937,0.01258216,0.04584658,0.0002271602,0.0004837193,0.0001058348,0.03535241,0.1063016,0.3974076,0.01300447,0.3740571,0.002072026],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996833,0.001874454,0.0003948066,0.00008637395,0.0001402776,0.0002734241,0.0001999058,0.0001062248,0.0000914952],"genre_scores_gemma":[0.9974781,0.001425588,0.0004706961,0.000009179483,0.00001398416,0.000111987,0.00003045885,0.00001392261,0.0004461271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3716849,"threshold_uncertainty_score":0.3917683,"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."}}