{"id":"W4281481242","doi":"10.3390/min12060665","title":"Preparation of Magnetic Activated Carbon by Activation and Modification of Char Derived from Co-Pyrolysis of Lignite and Biomass and Its Adsorption of Heavy-Metal-Containing Wastewater","year":2022,"lang":"en","type":"article","venue":"Minerals","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Adsorption; Activated carbon; Pyrolysis; Metal ions in aqueous solution; Char; Wastewater; Microporous material; Specific surface area; Chemistry; Metal; Carbon fibers; Nuclear chemistry; Chemical engineering; Materials science; Organic chemistry; Waste management; Catalysis; Composite number; Composite material","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":[0.0001334912,0.0002973741,0.0002208459,0.0004891157,0.0002175687,0.0001652976,0.0002630065,0.0003729993,0.0006783702],"category_scores_gemma":[0.0001848993,0.000150946,0.0004209852,0.0003081576,0.0001447982,0.0002234999,0.0002182689,0.0003353105,0.0002231839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002007969,"about_ca_system_score_gemma":0.0002524398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006646924,"about_ca_topic_score_gemma":0.001606387,"domain_scores_codex":[0.9998564,0.00001250114,0.00001092969,0.00002294764,0.00006919239,0.0000279461],"domain_scores_gemma":[0.9999273,0.000008229393,0.00001448674,0.00000951037,0.00002541706,0.00001506158],"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":[0.00005493716,0.00002638424,0.0001553112,0.0001074274,0.00001110752,0.0001099624,0.00001356565,0.0002222786,0.9955601,0.0001080717,0.00006945489,0.003561414],"study_design_scores_gemma":[0.00001135038,0.0001144369,0.001521223,0.00000549594,0.00001653579,0.0001700359,0.00001384197,0.001699519,0.9943757,0.0000532683,0.002009799,0.000008829069],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784777,0.002304833,0.01471439,0.0001454758,0.0001037242,0.00009430265,0.0002585459,0.0002217604,0.003679339],"genre_scores_gemma":[0.9854985,0.0006724327,0.01093765,0.00006015825,0.00001895836,0.00006940794,0.0002837933,0.00002565345,0.002433495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006783702,"threshold_uncertainty_score":0.002269328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01682608287692933,"score_gpt":0.2473581245635437,"score_spread":0.2305320416866144,"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."}}