{"id":"W4283831809","doi":"10.4314/gm.v22i1.5","title":"Beneficiation of Iron Oxides from Cupola Furnace Slags for Arsenic Removal from Mine Tailings Decant Water","year":2022,"lang":"en","type":"article","venue":"Ghana Mining Journal","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Kwame Nkrumah University of Science and Technology; International Development Research Centre","keywords":"Metallurgy; Beneficiation; Magnetite; Materials science; Slag (welding); Ferrous; Magnetic separation; Tailings; Cupola; Smelting; Iron oxide; Foundry; Iron ore","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":[],"consensus_categories":[],"category_scores_codex":[0.0005221809,0.0001418744,0.0002356344,0.0001435266,0.0002393261,0.00005185344,0.0001636213,0.00005356768,0.0004732231],"category_scores_gemma":[0.00005465298,0.0001205824,0.0001497507,0.00007097247,0.000009967605,0.0001562696,0.00004151838,0.0003534812,0.000004806302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001314715,"about_ca_system_score_gemma":0.00002073398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001520531,"about_ca_topic_score_gemma":0.00004330391,"domain_scores_codex":[0.9988026,0.00004325727,0.0004739193,0.0001467556,0.0002820861,0.0002513708],"domain_scores_gemma":[0.9994697,0.0001272156,0.0001628368,0.0001160493,0.0000416672,0.0000825512],"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":[0.0001090312,0.00003318252,0.0004022062,0.0000146908,0.0001203285,0.00002207766,0.002223542,0.01848396,0.9514403,0.00001852609,0.0008912691,0.02624083],"study_design_scores_gemma":[0.004018132,0.0005142725,0.004186393,0.0002909703,0.0004897315,0.0006148078,0.0197436,0.3286726,0.548578,0.001059943,0.09068215,0.001149443],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990123,0.001237261,0.006967212,0.0001196978,0.00122174,0.0000731602,0.00006466002,0.0000472128,0.0001460432],"genre_scores_gemma":[0.9844214,0.00004168161,0.01471413,0.00004768899,0.0004681242,0.000005255566,0.0000867458,0.00003371331,0.000181229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4028624,"threshold_uncertainty_score":0.5181462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01574430843882736,"score_gpt":0.2216339413384902,"score_spread":0.2058896328996628,"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."}}