{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001276973,0.0001596215,0.0002080063,0.0002055314,0.00001739993,0.00009505093,0.000314324,0.00008614892,0.000113424],"category_scores_gemma":[0.0004121284,0.0001641749,0.00008332646,0.0001795793,0.00001565083,0.0004572964,0.00003179262,0.0002851941,0.00001240953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001759948,"about_ca_system_score_gemma":0.0000323808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007271993,"about_ca_topic_score_gemma":7.673748e-7,"domain_scores_codex":[0.9986591,0.000006131344,0.0005917557,0.0001277336,0.0004411589,0.0001741041],"domain_scores_gemma":[0.9990274,0.00009333202,0.0001353607,0.00008682604,0.000518427,0.0001386287],"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":[0.00002232785,0.00001498022,0.00002384852,0.00001377687,0.0001046876,0.000004588509,0.0003919973,0.349854,0.6487538,0.00001224075,0.0001515242,0.0006522138],"study_design_scores_gemma":[0.0002215707,0.00002285014,0.00003324857,0.0002254641,0.00002326487,0.00006083633,0.00004416863,0.2618396,0.7358307,0.00005728272,0.001486285,0.0001546509],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8610799,0.0001346279,0.1367156,0.00009777714,0.001352108,0.00004270218,0.000008478123,0.00006433123,0.0005044921],"genre_scores_gemma":[0.9779218,0.000008318232,0.02012603,0.0000628863,0.001789678,0.000001893629,0.000005086245,0.00003970658,0.00004457192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.116842,"threshold_uncertainty_score":0.6694857,"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."}}