{"id":"W2913171087","doi":"10.1051/metal/2018070","title":"An environmentally friendly system for high efficient silver recovery from anode slime","year":2019,"lang":"en","type":"article","venue":"Metallurgical Research & Technology","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Anode; Cyanide; Dissolution; Reagent; Leaching (pedology); Lixiviant; Environmentally friendly; Chemistry; Electrowinning; Resource recovery; Precious metal; Copper; Inorganic chemistry; Thiosulfate; Metal; Materials science; Wastewater; Waste management; Electrode; Organic chemistry; Environmental science","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":["insufficient_payload"],"category_scores_codex":[0.001880067,0.0002787431,0.0004488064,0.00035715,0.0002625792,0.00009714955,0.001367493,0.00042794,0.00257147],"category_scores_gemma":[0.0001091568,0.0002366732,0.0001424693,0.0005996561,0.0006325975,0.0001892465,0.001030488,0.000597672,0.003619613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006462898,"about_ca_system_score_gemma":0.00001325346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005283208,"about_ca_topic_score_gemma":0.0000198659,"domain_scores_codex":[0.9960304,0.0002756708,0.0004382354,0.001207302,0.001036104,0.001012239],"domain_scores_gemma":[0.998042,0.0003373365,0.0001043513,0.001298846,0.00002098204,0.000196418],"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":[0.001329382,0.002915867,0.01172178,0.0001696249,0.0004604581,0.0003049949,0.0001406331,0.02794214,0.7454769,0.03806611,0.005325518,0.1661466],"study_design_scores_gemma":[0.007834875,0.01599182,0.03303907,0.000388649,0.0002833315,0.00005333547,0.004655893,0.1373693,0.3618631,0.05359587,0.3814492,0.003475522],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748739,0.0000801788,0.01351934,0.000631395,0.0001846104,0.001623825,0.00003818921,0.0006621082,0.008386477],"genre_scores_gemma":[0.9874125,0.00004335525,0.01002239,0.00004699418,0.00004661227,0.0003731933,0.00005740677,0.00005140157,0.001946166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3836138,"threshold_uncertainty_score":0.9983403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01693346751758393,"score_gpt":0.2934135099553135,"score_spread":0.2764800424377295,"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."}}