{"id":"W2018441539","doi":"10.1179/174328508x283478","title":"Recovery of zinc, gallium and indium from La Oroya zinc ferrite using Na<sub>2</sub>CO<sub>3</sub>roasting","year":2008,"lang":"en","type":"article","venue":"Mineral Processing and Extractive Metallurgy Transactions of the Institutions of Mining and Metallurgy Section C","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy","keywords":"Roasting; Zinc ferrite; Zinc; Leaching (pedology); Gallium; Calcination; Indium; Hydrometallurgy; Metallurgy; Chemistry; Electrowinning; Precipitation; Materials science; Inorganic chemistry; Nuclear chemistry; Sulfuric acid; Electrolyte; Environmental science; Catalysis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003627485,0.0003666911,0.0005960581,0.0004474019,0.0007880955,0.0000573112,0.0001239258,0.000258236,0.00001341825],"category_scores_gemma":[0.0001283321,0.0003363585,0.0001811559,0.000547684,0.0008074229,0.001139822,0.00002084606,0.0004368226,6.955322e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005656554,"about_ca_system_score_gemma":0.0002374293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002217145,"about_ca_topic_score_gemma":0.0002010037,"domain_scores_codex":[0.9980943,0.0001308875,0.0008003296,0.0003992688,0.0003174221,0.0002577706],"domain_scores_gemma":[0.9986731,0.0002772845,0.0004389708,0.0002071067,0.0002744844,0.0001290973],"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":[0.0001076238,0.0001688184,0.0001638598,0.0003046936,0.000355619,0.000003370788,0.001354402,0.07453193,0.9070797,0.00003942251,0.00001663381,0.01587395],"study_design_scores_gemma":[0.001492249,0.000190627,0.007915271,0.0007843493,0.0009301709,0.0007193905,0.002145762,0.07367217,0.9093896,0.000128424,0.001892692,0.0007393204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8829901,0.001599099,0.1132566,0.00003831714,0.0004251171,0.0001452313,0.0000416445,0.00008261649,0.001421197],"genre_scores_gemma":[0.9949283,0.001422237,0.003358481,0.00001490935,0.00008270028,0.00002195508,0.00001539258,0.00003788308,0.0001181458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1119382,"threshold_uncertainty_score":0.9999089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03479653172549298,"score_gpt":0.2543009161678619,"score_spread":0.219504384442369,"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."}}