{"id":"W4324135517","doi":"10.1016/j.hydromet.2023.106055","title":"Selective gold recovery from pregnant thiocyanate leach solution using ion exchange resins","year":2023,"lang":"en","type":"article","venue":"Hydrometallurgy","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Chemistry; Thiocyanate; Gold cyanidation; Elution; Adsorption; Leaching (pedology); Copper; Ion exchange; Ion-exchange resin; Thiourea; Potassium thiocyanate; Reagent; Nuclear chemistry; Inorganic chemistry; Copper extraction techniques; Chromatography; Ion; Cyanide; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003258306,0.0002297962,0.0002702477,0.0003819432,0.0001214023,0.00006647214,0.0001334762,0.0001716354,0.0002549689],"category_scores_gemma":[0.00005301746,0.0002243759,0.0001439356,0.0007865959,0.00002190552,0.0004044242,0.00005803165,0.0003288992,0.0006228923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002075235,"about_ca_system_score_gemma":0.00001852211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005811113,"about_ca_topic_score_gemma":0.000161209,"domain_scores_codex":[0.9985958,0.00009646993,0.0002937039,0.0003288148,0.000263957,0.0004212132],"domain_scores_gemma":[0.9994799,0.00007534819,0.00006818635,0.0002466781,0.00002748391,0.0001023947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003215462,0.00004620759,0.0000330483,0.00009624805,0.0002915917,0.000042687,0.0004667735,0.06423794,0.8910982,0.0000763189,0.002299695,0.04127911],"study_design_scores_gemma":[0.0004674471,0.00008237028,0.004097315,0.0002507835,0.00009417685,0.00002393495,0.00009397515,0.9358857,0.02541858,0.0009789846,0.03196909,0.0006375936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703847,0.0009706433,0.0132252,0.00006800699,0.002069978,0.0002474486,0.00003436573,0.001389829,0.01160984],"genre_scores_gemma":[0.9955329,0.0008545518,0.0006208962,0.00003833871,0.000297187,0.00001697117,0.0001460975,0.0000657143,0.002427361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8716478,"threshold_uncertainty_score":0.9149783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03705840477111742,"score_gpt":0.2451754187821512,"score_spread":0.2081170140110338,"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."}}