{"id":"W7163856274","doi":"","title":"Gold Recycling Using Electrochemically-Mediated Liquid-Liquid Extractions","year":2025,"lang":"","type":"report","venue":"ScholarlyCommons (University of Pennsylvania)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gold extraction; Cyanide; Electronic waste; Gold cyanidation; Scrap; Precious metal; Hydrometallurgy; Pyrometallurgy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003547579,0.000673443,0.000477709,0.0005653509,0.0003972996,0.0007184665,0.0009301565,0.0006573523,0.001832508],"category_scores_gemma":[0.000470443,0.0003817511,0.0004693703,0.0004435843,0.0003359471,0.0006749587,0.0009126784,0.0006105935,0.00216919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005805619,"about_ca_system_score_gemma":0.0004729104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008996448,"about_ca_topic_score_gemma":0.002038429,"domain_scores_codex":[0.9995172,0.00005078714,0.0000478845,0.0001177739,0.0001941793,0.00007211262],"domain_scores_gemma":[0.9998499,0.000033072,0.00003755298,0.00002008606,0.00004577768,0.000013624],"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":[0.00004490989,0.00006947712,0.0002131318,0.0001732741,0.00001598833,0.0001892484,0.00004269655,0.0005673146,0.9746115,0.0007836949,0.0005861291,0.02270249],"study_design_scores_gemma":[0.000010336,0.00007652526,0.0001505977,0.000008898008,0.000008722252,0.00008239446,0.00001389151,0.002547541,0.9930211,0.00007214445,0.003994917,0.00001294883],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6674254,0.006295134,0.2881421,0.00141811,0.0007056156,0.001103822,0.0007384033,0.00488644,0.02928494],"genre_scores_gemma":[0.8436142,0.003014434,0.133276,0.0006246502,0.00009807292,0.0003135366,0.0004169373,0.0001384108,0.0185038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001832508,"threshold_uncertainty_score":0.006130397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04573996889607918,"score_gpt":0.2858643879487939,"score_spread":0.2401244190527147,"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."}}