{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005509066,0.0007553025,0.0008014436,0.0002177244,0.0002774995,0.0001708753,0.000322912,0.0005467419,0.00000430174],"category_scores_gemma":[0.0002193713,0.0008694082,0.00009032033,0.001111422,0.0002386887,0.0007796438,0.0002890364,0.0005882803,0.000007429115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003024833,"about_ca_system_score_gemma":0.0001525515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008649816,"about_ca_topic_score_gemma":0.00002251811,"domain_scores_codex":[0.9961832,0.00004964169,0.001055354,0.001218261,0.0004531322,0.001040419],"domain_scores_gemma":[0.9975417,0.0002388434,0.000508139,0.0009240094,0.000418672,0.0003686839],"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":[0.00008289615,0.0000970913,0.00224351,0.002306885,0.00009934054,0.0000231908,0.0005577044,0.01149296,0.9791023,0.0005006833,0.000008132884,0.00348536],"study_design_scores_gemma":[0.001278471,0.00004212271,0.009577494,0.0003162049,0.0001191926,0.00008361312,0.0005970486,0.008289227,0.977975,0.0002630834,0.0005667156,0.0008918574],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959924,0.0004086277,0.002098452,0.0002686799,0.00002976765,0.0007582651,0.00003032413,0.0002596507,0.0001538919],"genre_scores_gemma":[0.997748,0.000694305,0.0001806305,0.00004599002,0.0001840861,0.000378149,0.0004905786,0.0001717308,0.000106501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007333984,"threshold_uncertainty_score":0.9993756,"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."}}