{"id":"W2137461962","doi":"10.1002/cjce.20393","title":"An economically viable removal of methylene blue by adsorption on activated carbon prepared from rice husk","year":2010,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"All India Council for Technical Education","keywords":"Activated carbon; Point of zero charge; Adsorption; Endothermic process; Sorption; Nuclear chemistry; Aqueous solution; Freundlich equation; Methylene blue; Chemistry; Husk; Langmuir adsorption model; Enthalpy; Langmuir; Scanning electron microscope; Materials science; Organic chemistry; Photocatalysis; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000109478,0.0003537887,0.0002429225,0.0002758122,0.0001356664,0.0002713258,0.0002324773,0.0003768238,0.0005721623],"category_scores_gemma":[0.0001666989,0.000148682,0.0002633099,0.0002051518,0.0001778599,0.0001608277,0.0001526965,0.0002751143,0.0002187938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002424854,"about_ca_system_score_gemma":0.0002587568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001401681,"about_ca_topic_score_gemma":0.003095068,"domain_scores_codex":[0.9998972,0.00001372967,0.000005120207,0.00001493942,0.00004773371,0.00002122425],"domain_scores_gemma":[0.9999274,0.00001625982,0.00001636866,0.000006194893,0.00002103005,0.00001286239],"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":[0.00004131842,0.0000112574,0.00008410537,0.00007097793,0.000004373689,0.00005384695,0.000005943084,0.0001637928,0.9986058,0.00001946443,0.00001103189,0.0009281683],"study_design_scores_gemma":[0.000006887849,0.0002518208,0.002576839,0.000007070192,0.00001348863,0.0001076072,0.00001815832,0.001356311,0.9948806,0.00001626804,0.0007578846,0.000007074049],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968941,0.001083108,0.001113048,0.00004272448,0.00001328258,0.00001270115,0.00009463259,0.00003356551,0.0007127773],"genre_scores_gemma":[0.9965398,0.000532679,0.001770295,0.00001372806,0.000003915185,0.000006972041,0.0001153144,0.000008439904,0.001008823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001401681,"threshold_uncertainty_score":0.002786994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004607458844419573,"score_gpt":0.1836560232495876,"score_spread":0.179048564405168,"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."}}