{"id":"W3046374306","doi":"10.1016/j.seppur.2020.117463","title":"Copper extraction from waste printed circuit boards by glycine","year":2020,"lang":"en","type":"article","venue":"Separation and Purification Technology","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":72,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Department of Science and Technology of Sichuan Province; National Natural Science Foundation of China","keywords":"Leaching (pedology); Hydrometallurgy; Pyrometallurgy; Chemistry; Surface-area-to-volume ratio; Metal; Environmentally friendly; Copper; Inorganic chemistry; Metallurgy; Nuclear chemistry; Materials science; Chemical engineering; Organic chemistry; Smelting","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001133989,0.0004947141,0.0002319757,0.0002998335,0.0002117993,0.0002544464,0.0002424142,0.0002598607,0.00094781],"category_scores_gemma":[0.0001279876,0.0001968764,0.0001807868,0.0003181357,0.0001348578,0.0003038876,0.0001904471,0.0003060577,0.0004720049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000228261,"about_ca_system_score_gemma":0.0002428102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006166809,"about_ca_topic_score_gemma":0.001495791,"domain_scores_codex":[0.9998907,0.00001959879,0.000008536264,0.00002114544,0.00002178897,0.00003819112],"domain_scores_gemma":[0.9999474,0.00001111376,0.00001394467,0.000008170642,0.00001108809,0.000008224992],"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":[0.0001050226,0.00001225862,0.0001769112,0.00008111666,0.000007840468,0.000143553,0.00003314458,0.0002003697,0.9952509,0.00006143098,0.0001039436,0.003823485],"study_design_scores_gemma":[0.00000303619,0.0000349137,0.0002807095,0.000003791909,0.000004468262,0.00004101421,0.00001127384,0.0001530887,0.9985831,0.00001322749,0.0008695147,0.000001853962],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850965,0.001911699,0.007364066,0.0001485329,0.00006407742,0.0000279866,0.0001423663,0.0001584862,0.005086296],"genre_scores_gemma":[0.9902329,0.0008681818,0.003546532,0.00004882775,0.00001199922,0.00001122089,0.0001766518,0.0000492728,0.005054362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00094781,"threshold_uncertainty_score":0.003170729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01597323051067465,"score_gpt":0.2671932710183553,"score_spread":0.2512200405076807,"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."}}