{"id":"W4385875274","doi":"10.18488/13.v12i2.3422","title":"Investigation of techniques to replace amalgamation in artisanal gold mining operations","year":2023,"lang":"en","type":"article","venue":"International Journal of Sustainable Energy and Environmental Research","topic":"Mining and Resource Management","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Universidade de Pernambuco; Universidade Federal de Pernambuco; AngloGold Ashanti","keywords":"Gold cyanidation; Lixiviant; Gold mining; Gold extraction; Effluent; Mercury (programming language); Cyanide; Leaching (pedology); Pulp and paper industry; Chemistry; Hydrometallurgy; Gold ore; Reagent; Metallurgy; Environmental science; Waste management; Environmental engineering; Engineering; Materials science","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0008842703,0.00005238215,0.0000802757,0.0008885002,0.00003235373,0.00003521599,0.0001405284,0.00003526383,0.00002059139],"category_scores_gemma":[0.00007398378,0.00005120469,0.00001914394,0.000266676,0.00005159767,0.0001554385,0.0001064069,0.0001027561,0.000001514354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002094603,"about_ca_system_score_gemma":0.00001525614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007082977,"about_ca_topic_score_gemma":0.00001135098,"domain_scores_codex":[0.9990146,0.00004587217,0.0002681235,0.00007233215,0.0004418929,0.0001571792],"domain_scores_gemma":[0.9997391,0.00006665949,0.00002687322,0.00005476313,0.0000520093,0.00006060681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001741415,0.00006598288,0.01694568,0.0001075029,0.0001701717,0.0005219447,0.008608342,0.7975183,0.1067774,0.01088514,0.007631666,0.05059377],"study_design_scores_gemma":[0.00240957,0.00141243,0.1029577,0.001201732,0.00003297338,0.0001644472,0.1579304,0.272839,0.3467647,0.004333861,0.1091852,0.0007680249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974967,0.00008387706,0.000739088,0.0004435185,0.00004398865,0.00005068354,0.000001768585,0.00001244766,0.001127972],"genre_scores_gemma":[0.9971607,0.0003982676,0.0004392418,0.00002038445,0.00005991607,0.00001313359,0.000009882052,0.000009100696,0.001889403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5246792,"threshold_uncertainty_score":0.2088066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01987711462726728,"score_gpt":0.2740860397827354,"score_spread":0.2542089251554681,"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."}}