{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000386258,0.0001230816,0.0001857474,0.000173463,0.00003979062,0.00005480163,0.0002241674,0.00005520762,0.00001246856],"category_scores_gemma":[0.0002319072,0.00009764341,0.00007480303,0.0001591712,0.00001986374,0.00007630663,0.000009317414,0.0003866647,0.00000469686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001323718,"about_ca_system_score_gemma":0.00005186143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002908311,"about_ca_topic_score_gemma":0.0001747314,"domain_scores_codex":[0.9991809,0.00001587091,0.0003516125,0.00006899914,0.0001522024,0.0002304519],"domain_scores_gemma":[0.9994205,0.00006436822,0.00007085179,0.0001192561,0.00005375534,0.0002712982],"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":[0.000002000643,0.000001799272,0.000007896824,0.00003402082,0.00001256991,0.000001237233,0.0002035644,0.4948184,0.5039465,0.0001340392,0.000008927861,0.000829011],"study_design_scores_gemma":[0.0001407014,0.00001662033,0.0005766244,0.0001986036,0.00001712587,0.00004830894,0.00006209013,0.2963204,0.7019223,0.00001254933,0.0005257808,0.0001588705],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724451,0.0001950683,0.02668568,0.00007880043,0.0003083055,0.00004859977,0.000001688462,0.00002752536,0.0002092164],"genre_scores_gemma":[0.9983277,0.000001647911,0.001455357,0.00001385415,0.0001670501,0.000001147898,6.14696e-7,0.00002194476,0.0000106636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1984979,"threshold_uncertainty_score":0.3981782,"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."}}