{"id":"W4312577520","doi":"10.1071/ch22182","title":"Gold extraction using novel ionic thiourea derivatives","year":2022,"lang":"en","type":"article","venue":"Australian Journal of Chemistry","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Thiourea; Gold cyanidation; Chemistry; Ionic liquid; Gold extraction; Cyanide; Extraction (chemistry); Hexafluorophosphate; Inorganic chemistry; Hydrometallurgy; Green chemistry; Aqueous solution; Copper; Organic chemistry; Catalysis","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001376537,0.0000943101,0.0001190972,0.00004288031,0.00008354749,0.00003539178,0.000127836,0.00004275514,0.001591182],"category_scores_gemma":[0.00001937918,0.0001025446,0.00007259913,0.0001605378,0.00001746935,0.0003104544,0.00001027471,0.0004670485,0.000002358104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001281801,"about_ca_system_score_gemma":0.00006273782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001031571,"about_ca_topic_score_gemma":1.502161e-7,"domain_scores_codex":[0.999265,0.000007362547,0.0003183863,0.00006241158,0.0002255779,0.0001212544],"domain_scores_gemma":[0.9995743,0.00002014738,0.0001833802,0.00007187818,0.00007523366,0.00007507773],"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":[0.00001167567,0.00003361782,0.0001058867,0.0000429466,0.00003916474,0.00001065273,0.0001319022,0.1202969,0.8755543,0.000007330499,0.003655237,0.0001103836],"study_design_scores_gemma":[0.000462989,0.00002828107,0.0003877985,0.00003226807,0.00003708547,0.00227089,0.001763742,0.001089114,0.937429,0.0001217617,0.05617553,0.0002015637],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892718,0.0002160365,0.004393867,0.000290333,0.0005333521,0.00003070392,0.000008523326,0.00004371407,0.005211701],"genre_scores_gemma":[0.9955583,0.00002302953,0.001137531,0.00002495262,0.0001797653,0.0000016351,0.000003604554,0.00001539854,0.003055819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1192078,"threshold_uncertainty_score":0.9993215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03874345507708237,"score_gpt":0.2924507613996419,"score_spread":0.2537073063225596,"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."}}