{"id":"W2921979135","doi":"10.1021/acssuschemeng.8b06142","title":"Green Recycling of Goethite and Gypsum Residues in Hydrometallurgy with α-Fe<sub>3</sub>O<sub>4</sub> and γ-Fe<sub>2</sub>O<sub>3</sub> Nanoparticles: Application, Characterization, and DFT Calculation","year":2019,"lang":"en","type":"article","venue":"ACS Sustainable Chemistry & Engineering","topic":"Iron oxide chemistry and applications","field":"Energy","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; State Administration of Foreign Experts Affairs; Ministry of Science and Technology of the People's Republic of China; Central South University; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Goethite; Gypsum; Iron oxide; Hydrometallurgy; Leaching (pedology); Iron oxide nanoparticles; Hydroxide; Sulfuric acid; Inorganic chemistry; Chemical engineering; Chemistry; Dissolution; Nanoparticle; Materials science; Metallurgy; Nanotechnology; Geology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009918668,0.0002557456,0.0002879089,0.0002044525,0.0002449957,0.0001502225,0.0003141018,0.0003848578,0.0009577008],"category_scores_gemma":[0.0001378685,0.0001261447,0.0003629567,0.0001964968,0.0001577351,0.0002388041,0.0002201407,0.0002151783,0.0001500361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004062581,"about_ca_system_score_gemma":0.000234132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003310638,"about_ca_topic_score_gemma":0.004861238,"domain_scores_codex":[0.9999717,0.000003162107,0.000001356456,0.000004354997,0.00001143727,0.000007968632],"domain_scores_gemma":[0.9999752,0.000008539151,0.000004079152,0.000002621488,0.00000704264,0.000002497306],"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":[0.0005735073,0.0002600104,0.003767069,0.001823955,0.0001254181,0.001094516,0.0002299574,0.3011276,0.6192492,0.01623048,0.002163135,0.05335513],"study_design_scores_gemma":[0.00009257074,0.0003045946,0.003359799,0.00002991138,0.00006294116,0.0001214545,0.0001451126,0.8389432,0.1502738,0.002625484,0.004017546,0.00002360167],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798386,0.0009427387,0.01163818,0.0002021887,0.00003141276,0.00003025121,0.0002322725,0.0001073966,0.006977009],"genre_scores_gemma":[0.9932339,0.0004622211,0.00488844,0.00004649549,0.000003322989,0.00004221416,0.0001436956,0.00001617704,0.001163578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003310638,"threshold_uncertainty_score":0.006582737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003335128376189105,"score_gpt":0.1787701858095262,"score_spread":0.1754350574333371,"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."}}