{"id":"W4293247024","doi":"10.23955/rkl.v17i1.23223","title":"Optimizing Gold Recovery of Artisanal Mining: A Lesson Learned from Kenya","year":2022,"lang":"en","type":"article","venue":"Jurnal Rekayasa Kimia & Lingkungan","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Gold cyanidation; Kenya; Gold mining; Leaching (pedology); Sample (material); Gold ore; Concentrator; Environmental science; Mining engineering; Metallurgy; Cyanide; Engineering; Chemistry; Materials science; Political science; Chromatography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001299337,0.0006356133,0.0004328357,0.0004431705,0.001418278,0.001169541,0.0007237704,0.001068098,0.001743936],"category_scores_gemma":[0.001020667,0.0002091934,0.0003003576,0.0003925111,0.000769367,0.001871038,0.0008955158,0.001150816,0.0003776248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001170346,"about_ca_system_score_gemma":0.002730381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01288094,"about_ca_topic_score_gemma":0.04699264,"domain_scores_codex":[0.9995864,0.0001002858,0.00002518832,0.00006614035,0.0001461397,0.00007597636],"domain_scores_gemma":[0.9995789,0.0001027084,0.00003385795,0.00001808737,0.0002010011,0.00006549698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000568162,0.00122771,0.01544796,0.004418619,0.0001172401,0.004809329,0.01569184,0.003919815,0.1210375,0.01192085,0.03680307,0.7840379],"study_design_scores_gemma":[0.0001764601,0.003291815,0.02999718,0.00478678,0.000240945,0.003948356,0.07211257,0.004983151,0.1231419,0.01563991,0.7413561,0.0003247935],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6652362,0.1204251,0.02339793,0.09901784,0.001368187,0.000493444,0.0002306647,0.0001748917,0.08965562],"genre_scores_gemma":[0.7484083,0.1205288,0.06619747,0.009978494,0.0002722356,0.0001100066,0.0002017904,0.00009807326,0.05420488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01288094,"threshold_uncertainty_score":0.02561194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03329883451073985,"score_gpt":0.248357323768979,"score_spread":0.2150584892582391,"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."}}