{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.006143382,0.003227367,0.00563184,0.007773105,0.003767738,0.0006695605,0.006880779,0.005837334,0.004137707],"category_scores_gemma":[0.005750238,0.005220427,0.003953186,0.01065249,0.001667844,0.006777129,0.004427084,0.01493195,0.002293863],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01682318,"about_ca_system_score_gemma":0.01497058,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01173867,"about_ca_topic_score_gemma":0.007439717,"domain_scores_codex":[0.9805248,0.002444571,0.003387915,0.004793854,0.004895232,0.003953626],"domain_scores_gemma":[0.9748759,0.002448568,0.00730377,0.005584468,0.007689406,0.002097847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.008908634,0.002565197,0.0005466795,0.001519123,0.004702363,0.001284605,0.0009457536,0.0002685098,0.9662289,0.0001791061,0.01194936,0.0009017604],"study_design_scores_gemma":[0.01205357,0.005040958,0.001132464,0.01637455,0.02625183,0.002055425,0.01141908,0.002841536,0.02717647,0.0002001565,0.8836546,0.01179934],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8945455,0.007561802,0.004933936,0.001396644,0.003367045,0.003872257,0.006433049,0.001389839,0.07649995],"genre_scores_gemma":[0.8194649,0.02268595,0.03554825,0.0001823643,0.001557446,0.00001386503,0.009394294,0.001845994,0.1093069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9390525,"threshold_uncertainty_score":0.9984925,"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."}}