{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005804863,0.0004826291,0.0006665317,0.0002075148,0.0001388923,0.000282964,0.0002094638,0.0002742973,0.000105513],"category_scores_gemma":[0.0009191993,0.0004290826,0.0000907927,0.0004006323,0.00005989354,0.0006205915,0.00007397567,0.0004726161,0.00007400777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008654405,"about_ca_system_score_gemma":0.00002291396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003537582,"about_ca_topic_score_gemma":0.000004980935,"domain_scores_codex":[0.9975595,0.0001759185,0.0008174576,0.0006007542,0.0003432455,0.0005031134],"domain_scores_gemma":[0.9985789,0.0005215218,0.000242936,0.0003454018,0.00009298079,0.0002182337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001148089,0.00006800816,0.03004641,0.0003227112,0.00006201271,0.000007985983,0.0004386307,0.001131004,0.9656807,0.0002876848,0.00006121326,0.001882202],"study_design_scores_gemma":[0.005224125,0.0004616788,0.6585382,0.001694766,0.0005405537,0.0002662475,0.0003693582,0.2827169,0.03289932,0.000133127,0.01313616,0.004019493],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874668,0.0001355051,0.008182618,0.00009274143,0.0003479739,0.0006941484,0.00007028617,0.0005065139,0.002503403],"genre_scores_gemma":[0.9905878,0.00006593565,0.001953416,0.000113797,0.000553811,0.00008992865,0.00197151,0.00009233512,0.004571407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9327813,"threshold_uncertainty_score":0.9998161,"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."}}