{"id":"W2896474608","doi":"10.1155/2018/9161323","title":"Pre-Reducing Process Kinetics to Recover Metals from Nickel Leach Waste Using Chelating Resins","year":2018,"lang":"en","type":"article","venue":"International Journal of Chemical Engineering","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of British Columbia; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Universidade de São Paulo; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Coprecipitation; Cobalt; Sodium sulfite; Nickel; Chelation; Sulfite; Chemistry; Copper; Ion exchange; Inorganic chemistry; Reducing agent; Metal; Ion-exchange resin; Sodium diethyldithiocarbamate; Nuclear chemistry; Sodium; Ion; Organic chemistry","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":[0.0003627292,0.0002981659,0.0004020446,0.0001935602,0.0001493106,0.0003079761,0.0003188012,0.0002213704,0.001751499],"category_scores_gemma":[0.0004253586,0.0001971696,0.0003629785,0.0002601639,0.0001043937,0.0002925034,0.0001191596,0.0004737398,0.0009400553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002090475,"about_ca_system_score_gemma":0.0003452499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002133145,"about_ca_topic_score_gemma":0.003445258,"domain_scores_codex":[0.9997643,0.0000386071,0.00002898429,0.00004439668,0.00007377241,0.00004997569],"domain_scores_gemma":[0.9997895,0.00007714361,0.0000276041,0.00002020172,0.00006926474,0.00001623311],"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":[0.000163711,0.00005505271,0.0002285051,0.0001170222,0.000006182466,0.0000176625,0.00004641756,0.0003070014,0.9951141,0.00005761343,0.00006331316,0.00382345],"study_design_scores_gemma":[0.000003162798,0.0002418738,0.0009112529,0.00000440664,0.000008718137,0.00002212338,0.00002272446,0.0007756571,0.9969543,0.00001057969,0.001039544,0.000005546856],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861958,0.001990233,0.007854348,0.00009404073,0.00002857872,0.0001091838,0.0003274225,0.0001868412,0.003213582],"genre_scores_gemma":[0.9788901,0.002080027,0.009922047,0.00006248301,0.00001162183,0.00008101347,0.0005952382,0.00007065089,0.008286802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002133145,"threshold_uncertainty_score":0.005859375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01747582428561785,"score_gpt":0.2948527125397436,"score_spread":0.2773768882541258,"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."}}