{"id":"W2790254146","doi":"10.1016/j.jclepro.2018.03.203","title":"An environmentally friendly process to selectively recover silver from copper anode slime","year":2018,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"National Natural Science Foundation of China","keywords":"Environmentally friendly; Anode; Thiosulfate; Leaching (pedology); Reagent; Chemistry; Copper; Ammonia; Sulfur; Inorganic chemistry; Environmental science; Electrode; 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":[0.0005358612,0.0001426027,0.0001648006,0.00008727637,0.0001286861,0.00005446386,0.0002814492,0.00005961677,0.0007510078],"category_scores_gemma":[0.00005003461,0.0001197528,0.00005306478,0.0001697582,0.0001140217,0.0009344068,0.00005787245,0.0001728265,0.0002654875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002095594,"about_ca_system_score_gemma":0.000008803328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008159311,"about_ca_topic_score_gemma":0.00003116573,"domain_scores_codex":[0.9985384,0.00008219294,0.0003412418,0.0003506675,0.0004859578,0.0002015458],"domain_scores_gemma":[0.9993094,0.000009205907,0.0002722623,0.0002523914,0.00003260782,0.0001240947],"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":[0.0008661015,0.0008133254,0.09398916,0.00001046088,0.0001006482,0.00001501136,0.003874827,0.0127421,0.6259054,0.000005514423,0.09693674,0.1647407],"study_design_scores_gemma":[0.0005533204,0.003897854,0.2454246,0.00008814979,0.0001162604,0.00008128436,0.001212357,0.0003863751,0.6192595,0.00214552,0.1262583,0.0005764277],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927149,0.000008568313,0.002049603,0.0007172172,0.000444724,0.0002046376,0.000002196538,0.00004225239,0.003815893],"genre_scores_gemma":[0.9908034,0.00001893106,0.006868104,0.0003417696,0.0009466491,0.000004136177,0.000002492352,0.00002372711,0.000990832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1641643,"threshold_uncertainty_score":0.8223009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007291941987405013,"score_gpt":0.2595369788149846,"score_spread":0.2522450368275796,"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."}}