{"id":"W2980183057","doi":"10.1002/cjce.23667","title":"Copper recovery from nickel laterite with high‐iron content: A continuous process from mining waste","year":2019,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Copper; Laterite; Elution; Nickel; Precipitation; Chemistry; Impurity; Ion exchange; Chelation; Chelating resin; Metallurgy; Materials science; Inorganic chemistry; Chromatography; Metal; Ion; Metal ions in aqueous solution","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007374676,0.0001614956,0.000262563,0.00008067789,0.00002963947,0.0001054972,0.0002117045,0.00009105754,0.0001769472],"category_scores_gemma":[0.00004180728,0.0001216072,0.00004995184,0.0001085407,0.00002303273,0.0002826038,0.000004559059,0.0003462521,0.00002136077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001239108,"about_ca_system_score_gemma":0.0001315765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008661423,"about_ca_topic_score_gemma":0.0004068726,"domain_scores_codex":[0.9991914,0.00000656527,0.0003035186,0.00009845872,0.000162639,0.0002374319],"domain_scores_gemma":[0.9993164,0.0001006198,0.00008475401,0.0001278502,0.0001069474,0.0002634253],"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":[0.0001071095,0.00000920874,0.001508525,0.00009715405,0.0003198337,0.00007606009,0.001714699,0.3932788,0.600984,0.00005174445,0.001146592,0.0007063391],"study_design_scores_gemma":[0.003353017,0.000194762,0.00137079,0.00154146,0.0002271589,0.0002739617,0.001189684,0.06894717,0.9133642,0.0002012854,0.008155526,0.001181033],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997885,0.0005961743,0.0003191142,0.0001860253,0.0004744314,0.00006918955,0.00003096764,0.00003684046,0.0004022315],"genre_scores_gemma":[0.9990616,0.000007474281,0.0004223571,0.00009726221,0.0002151654,0.00000291652,0.00001387089,0.00004042326,0.0001388597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3243316,"threshold_uncertainty_score":0.4958998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007925475543951604,"score_gpt":0.1753790071581461,"score_spread":0.1674535316141945,"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."}}