{"id":"W4387371700","doi":"10.1016/j.jhazmat.2023.132721","title":"Catch and release: Gold adsorption and sorbent electrochemical regeneration","year":2023,"lang":"en","type":"article","venue":"Journal of Hazardous Materials","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Adsorption; Desorption; Carbon nanotube; Chemistry; Aqueous solution; Elution; Sorbent; Electrochemistry; Surface modification; Activated carbon; Chemical engineering; Amide; Inorganic chemistry; Materials science; Organic chemistry; Nanotechnology; Chromatography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005598573,0.00007075103,0.000138158,0.00005070351,0.00003275881,0.00007569835,0.00005982464,0.00004382327,0.00006328575],"category_scores_gemma":[0.00003677732,0.00005701827,0.00001825129,0.00007266871,0.00003693387,0.0001301726,0.00007093733,0.00004917661,0.00002043488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004981884,"about_ca_system_score_gemma":0.000003877158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001772561,"about_ca_topic_score_gemma":0.000002316142,"domain_scores_codex":[0.9992998,0.00004858636,0.0002554966,0.0001049128,0.0001736076,0.0001176004],"domain_scores_gemma":[0.9996945,0.00001612988,0.0001631096,0.00006853785,0.000008480079,0.00004928723],"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":[0.00002999428,0.000008145706,0.0004972694,0.00001232954,0.000006523238,0.00000802536,0.00005075083,0.00002003915,0.9839324,0.00003899629,0.01118395,0.004211539],"study_design_scores_gemma":[0.0002639948,0.0002030726,0.007359957,0.00004289423,0.00003037882,0.0001112675,0.00004729628,0.0001777133,0.985252,0.002422582,0.003975681,0.0001131556],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985733,0.00005899353,0.0002470661,0.0006768389,0.0001121074,0.00007619856,0.000001147713,0.00003785494,0.0002164614],"genre_scores_gemma":[0.9972613,0.001216451,0.0008427527,0.00006047793,0.0001202707,0.000002987344,0.000003518636,0.000008618099,0.0004835929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007208274,"threshold_uncertainty_score":0.2325137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0084166456476669,"score_gpt":0.2302792304713064,"score_spread":0.2218625848236395,"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."}}