{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003983477,0.0005546739,0.0008822692,0.0006251104,0.0004878599,0.000782527,0.000482332,0.0007337001,0.0009976702],"category_scores_gemma":[0.0003424793,0.0002984531,0.0006686055,0.0007172874,0.0004218694,0.0003686959,0.0004993679,0.0006808301,0.000590438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003757712,"about_ca_system_score_gemma":0.0003931196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002042672,"about_ca_topic_score_gemma":0.003040828,"domain_scores_codex":[0.9996586,0.0000503257,0.00002159996,0.00006581742,0.0001311208,0.00007262911],"domain_scores_gemma":[0.999833,0.00003693713,0.00003253252,0.00002325105,0.00004768946,0.00002658683],"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":[0.000282515,0.0001534318,0.0003413702,0.0002435186,0.00002215684,0.0002438756,0.00008122183,0.0002934354,0.9930671,0.000038273,0.00008050787,0.005152632],"study_design_scores_gemma":[0.00002914689,0.0004718519,0.001766243,0.00001879751,0.00004270144,0.0001208887,0.00007232364,0.0009840485,0.9952644,0.00002099792,0.001194062,0.00001440191],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957196,0.0006627832,0.002166052,0.00004722845,0.00002136942,0.00005977436,0.0001154467,0.00008462836,0.001123177],"genre_scores_gemma":[0.9937733,0.0006362341,0.003018659,0.00002863497,0.00001396449,0.00003846618,0.0001242216,0.00003746933,0.002329099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002042672,"threshold_uncertainty_score":0.00406152,"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."}}