{"id":"W3135200564","doi":"10.3390/met11020371","title":"Hydrometallurgical Leaching of Copper Flash Furnace Electrostatic Precipitator Dust for the Separation of Copper from Bismuth and Arsenic","year":2021,"lang":"en","type":"article","venue":"Metals","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Rio Tinto; U.S. Department of Energy","keywords":"Arsenic; Copper; Bismuth; Leaching (pedology); Sulfuric acid; Chemistry; Sodium hydroxide; Antimony; Hydroxide; Inorganic chemistry; Metallurgy; Materials science; Environmental science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001954662,0.00022417,0.0002062098,0.0003590139,0.0002557769,0.0002230437,0.0002813409,0.0001902382,0.0007147964],"category_scores_gemma":[0.0002946308,0.0001192717,0.0002159581,0.0002909193,0.0001598993,0.000160532,0.0001925695,0.000144409,0.0002085696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002922771,"about_ca_system_score_gemma":0.0003022602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001885166,"about_ca_topic_score_gemma":0.004629059,"domain_scores_codex":[0.9997837,0.00003127961,0.00001424517,0.00003227007,0.0001117229,0.00002675305],"domain_scores_gemma":[0.9998851,0.0000247005,0.00001867143,0.00001113235,0.00004942459,0.00001091878],"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":[0.0001212687,0.00004208108,0.0009533357,0.00008862746,0.000008347009,0.00006748758,0.00004356229,0.0004628458,0.9895382,0.00006136645,0.00007323877,0.008539643],"study_design_scores_gemma":[0.000004760518,0.0001730768,0.001455294,0.000005008946,0.000005783731,0.00003405703,0.00003404787,0.0008178272,0.9968898,0.00002095543,0.0005566947,0.000002739994],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952303,0.0002276009,0.002796642,0.00002485505,0.000007014024,0.00003791323,0.000119218,0.00004039377,0.001516147],"genre_scores_gemma":[0.9904553,0.0005072893,0.006539623,0.00002331315,0.000003922241,0.00002424952,0.0001815046,0.00001422894,0.002250532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001885166,"threshold_uncertainty_score":0.003748417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01907945424691727,"score_gpt":0.2819196521836275,"score_spread":0.2628401979367102,"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."}}