{"id":"W3185383098","doi":"10.1016/j.eti.2021.101811","title":"Activated carbon with ultrahigh surface area derived from sawdust biowaste for the removal of rhodamine B in water","year":2021,"lang":"en","type":"article","venue":"Environmental Technology & Innovation","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Kyonggi University","keywords":"Rhodamine B; Activated carbon; Sawdust; Scanning electron microscope; BET theory; Materials science; Specific surface area; Carbon fibers; Fourier transform infrared spectroscopy; Chemical engineering; Nuclear chemistry; Adsorption; Nanotechnology; Chemistry; Composite material; Organic chemistry; Catalysis; Photocatalysis; Composite number","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":[0.0001341887,0.0003396019,0.0002712588,0.0004329925,0.0002272454,0.000293916,0.0003724962,0.0006563569,0.0009226996],"category_scores_gemma":[0.0001703464,0.0002576524,0.0003807637,0.0002871209,0.0001854108,0.0003140766,0.0002745245,0.0005707494,0.0003347557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001911963,"about_ca_system_score_gemma":0.0002770622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000996811,"about_ca_topic_score_gemma":0.003030235,"domain_scores_codex":[0.9998578,0.00001518717,0.00001101142,0.00002572661,0.00006201582,0.00002834281],"domain_scores_gemma":[0.9999195,0.00001533882,0.0000104096,0.000008451431,0.00002672318,0.00001965375],"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":[0.00005559931,0.00003057235,0.00009229532,0.00005158974,0.000007731257,0.00005598897,0.00001186207,0.0001425573,0.9973236,0.00006611359,0.00005117611,0.002110815],"study_design_scores_gemma":[0.0000134021,0.000206168,0.001261713,0.000003671054,0.00001932868,0.0000758368,0.00001842318,0.002539159,0.9948921,0.0000299604,0.0009290771,0.00001113073],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946575,0.0008584042,0.002927781,0.00009581092,0.00007501783,0.00001540831,0.00006858721,0.0001132382,0.001188282],"genre_scores_gemma":[0.9953146,0.000417357,0.002319791,0.00003893561,0.00001574188,0.000009355032,0.00009788373,0.00001587903,0.001770507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000996811,"threshold_uncertainty_score":0.003086746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01017371563274372,"score_gpt":0.2007208705057544,"score_spread":0.1905471548730106,"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."}}