{"id":"W2973182895","doi":"10.3390/min9090557","title":"CIL Gold Loss Characterization within Oxidized Leach Tails: Creating a Synergistic Approach between Mineralogical Characterization, Diagnostic Leach Tests, and Preg-Robbing Tests","year":2019,"lang":"en","type":"article","venue":"Minerals","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agnico Eagle (Canada); University of Saskatchewan; Université du Québec en Abitibi-Témiscamingue","funders":"Mitacs","keywords":"Arsenopyrite; Gold cyanidation; Pyrite; Roasting; Metallurgy; Autoclave; Nitric acid; Gold extraction; Sodium cyanide; Chemistry; Leaching (pedology); Mineralogy; Nuclear chemistry; Materials science; Cyanide; Geology; Chalcopyrite; Copper","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000357043,0.0002872646,0.000274338,0.0009107622,0.0002484183,0.0005335415,0.0002844884,0.0003999168,0.0008987436],"category_scores_gemma":[0.0003550747,0.0002227205,0.0002488199,0.0003598862,0.0003435195,0.0003307179,0.0005069333,0.0004670474,0.0002773191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003186052,"about_ca_system_score_gemma":0.0002738068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001112796,"about_ca_topic_score_gemma":0.005018433,"domain_scores_codex":[0.9996151,0.00002495248,0.00001912272,0.0000849989,0.000212498,0.00004343088],"domain_scores_gemma":[0.9997855,0.00003650399,0.0000423184,0.00001758003,0.00009954716,0.00001862209],"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":[0.00009023664,0.00002447289,0.003239739,0.0000874898,0.000009070017,0.0001177635,0.0001030412,0.0001235276,0.9900158,0.00008720808,0.00007185495,0.006029645],"study_design_scores_gemma":[0.000008393971,0.0002062185,0.01434679,0.00001184899,0.00002276287,0.0002742234,0.0002436278,0.002004288,0.9802648,0.0001329474,0.002467206,0.00001680597],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698145,0.0004495084,0.02534618,0.00007018242,0.00002548602,0.0001281897,0.0004514004,0.0002838087,0.003430891],"genre_scores_gemma":[0.9532093,0.0005736697,0.03956513,0.0001434947,0.00001322041,0.0001204535,0.0004438909,0.0001115978,0.005819334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001112796,"threshold_uncertainty_score":0.003006637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01825476199071761,"score_gpt":0.2245339960192262,"score_spread":0.2062792340285086,"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."}}