{"id":"W2089039244","doi":"10.1016/j.hydromet.2009.03.007","title":"High pressure oxidative acid leaching of nickel smelter slag: Characterization of feed and residue","year":2009,"lang":"en","type":"article","venue":"Hydrometallurgy","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":101,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Leaching (pedology); Jarosite; Metallurgy; Nickel; Fayalite; Dissolution; Sulfide; Hematite; Iron oxide; Nuclear chemistry; Inorganic chemistry; Mineralogy; Materials science; Olivine","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":[0.0001591483,0.000179063,0.0002746722,0.0002954581,0.000248392,0.0002984361,0.0001782076,0.0002666675,0.0006594782],"category_scores_gemma":[0.0002209417,0.000115074,0.0002097417,0.0002275713,0.0002372848,0.0002430143,0.000171191,0.0002436267,0.000184755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003135611,"about_ca_system_score_gemma":0.0002876231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001757045,"about_ca_topic_score_gemma":0.003850484,"domain_scores_codex":[0.9998504,0.00001271666,0.00001142168,0.00002613436,0.00006796325,0.0000313358],"domain_scores_gemma":[0.9999275,0.00001910897,0.00001378711,0.000008119275,0.00002172576,0.000009760493],"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":[0.0002198675,0.00001792967,0.0009704797,0.00002284513,0.000005448886,0.00004194552,0.00004050213,0.0001124762,0.9968244,0.00002062929,0.00001513347,0.001708362],"study_design_scores_gemma":[0.000003614718,0.0001073459,0.0052887,0.00000227211,0.000005542474,0.00003451598,0.00005016297,0.0004964023,0.9937804,0.00001391507,0.0002144388,0.000002547386],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991516,0.00006658222,0.0004453825,0.000006863986,0.000003240824,0.000003240725,0.00006048808,0.000009124004,0.0002535329],"genre_scores_gemma":[0.9986048,0.00006532716,0.0003679266,0.000007665805,0.00000163904,0.000003330295,0.00009652242,0.000006706197,0.0008460193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001757045,"threshold_uncertainty_score":0.003493607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005637711463254753,"score_gpt":0.1909885052874491,"score_spread":0.1853507938241943,"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."}}