{"id":"W2116532437","doi":"10.1002/cjce.22039","title":"Efficient strategies to enhance gold leaching during cyanidation of multi‐sulfidic ores","year":2014,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Gold cyanidation; Sulfide; Sulfide minerals; Cyanide; Gold extraction; Leaching (pedology); Gold ore; Metallurgy; Passivation; Chemistry; Geology; Materials science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002414438,0.0004724915,0.0003640446,0.0002476816,0.0001910578,0.0003690274,0.0003473423,0.000320052,0.0003268743],"category_scores_gemma":[0.0002512407,0.0002313679,0.0002395626,0.0001591102,0.0002311403,0.0003452868,0.0004982183,0.0003573559,0.0001489636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004101557,"about_ca_system_score_gemma":0.0002657175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008932847,"about_ca_topic_score_gemma":0.004138212,"domain_scores_codex":[0.9997868,0.00002808353,0.00002116567,0.00004637509,0.00006904375,0.00004852954],"domain_scores_gemma":[0.99989,0.00002111485,0.00003676401,0.00001253279,0.00002515199,0.00001455923],"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":[0.00003722616,0.00001846132,0.0001562152,0.00008833926,0.000006590896,0.00002344278,0.00002175642,0.0002276615,0.9969024,0.00007020487,0.00001910691,0.00242872],"study_design_scores_gemma":[0.000004618395,0.00009638839,0.0004764069,0.000003933323,0.000007025334,0.00002740015,0.00001389413,0.00127939,0.9975673,0.00001647232,0.0005038821,0.000003373226],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861225,0.001068862,0.01129474,0.00006806902,0.00002130663,0.00007665294,0.00005742069,0.00008248009,0.001208032],"genre_scores_gemma":[0.9826903,0.000748384,0.01537599,0.00002705799,0.000007356159,0.00003226654,0.00005183433,0.0000156819,0.001051057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008932847,"threshold_uncertainty_score":0.002975881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006113097552573448,"score_gpt":0.2077735373384378,"score_spread":0.2016604397858644,"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."}}