{"id":"W2041939290","doi":"10.2320/matertrans.45.516","title":"Using Nickel as a Catalyst in Ammonium Thiosulfate Leaching for Gold Extraction","year":2004,"lang":"en","type":"article","venue":"MATERIALS TRANSACTIONS","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lixiviant; Thiosulfate; Gold cyanidation; Reagent; Leaching (pedology); Inorganic chemistry; Chemistry; Gold extraction; Ammonium; Copper; Catalysis; Nickel; Nuclear chemistry; Cyanide; Sulfuric acid; Sulfur; Organic chemistry","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":[0.000215308,0.0004788093,0.000335429,0.0002930553,0.00026542,0.0002980636,0.0003597886,0.0003415086,0.0006464577],"category_scores_gemma":[0.000184767,0.0002395183,0.0003394625,0.0002923649,0.0001781661,0.0003332674,0.0003229192,0.0002464456,0.0005768319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002585487,"about_ca_system_score_gemma":0.0003029269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001335915,"about_ca_topic_score_gemma":0.004102087,"domain_scores_codex":[0.9997131,0.00003628401,0.00003666976,0.00006888411,0.0001067577,0.00003824976],"domain_scores_gemma":[0.9999399,0.00000852984,0.00001124801,0.000009162543,0.00002516846,0.000005978955],"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":[0.00002748151,0.000007922882,0.0001780714,0.00008537395,0.00000516876,0.0000488685,0.00001859545,0.00006597747,0.9960128,0.00004413575,0.00003288484,0.003472733],"study_design_scores_gemma":[0.00000192112,0.00004792936,0.000320856,0.000003333003,0.000006090942,0.00004784893,0.00001361197,0.000393124,0.9980463,0.00001713663,0.001098315,0.000003499295],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9385431,0.003048782,0.04870791,0.0002074083,0.0001178075,0.0002069556,0.0002901297,0.0004585713,0.008419346],"genre_scores_gemma":[0.9512473,0.001874342,0.03708101,0.00008889951,0.00001751492,0.00009688662,0.0003508313,0.00007492059,0.009168344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001335915,"threshold_uncertainty_score":0.002656281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03358423444460579,"score_gpt":0.2889321967955216,"score_spread":0.2553479623509158,"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."}}