{"id":"W2886143100","doi":"10.11159/icepr18.100","title":"The Utilization of Activated Carbon/Lignin Biocomposite as Recyclable Sorbent For In-Situ Removal of High-Concentration BTX from Petroleum Wastewater","year":2018,"lang":"en","type":"article","venue":"Proceedings of the World Congress on New Technologies","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sorbent; Biocomposite; Waste management; Lignin; Activated carbon; Wastewater; Petroleum; In situ; Environmental science; Pulp and paper industry; Materials science; Chemistry; Chemical engineering; Adsorption; Organic chemistry; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002218298,0.000126855,0.0002231264,0.00008157668,0.00009431055,0.00002733461,0.0006053075,0.00007894784,0.000003336774],"category_scores_gemma":[0.0001229359,0.00007669472,0.00006521329,0.0004756071,0.0004640641,0.000114798,0.0002232188,0.00009772261,0.000001366225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000802657,"about_ca_system_score_gemma":0.000008951618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001180427,"about_ca_topic_score_gemma":0.0001197066,"domain_scores_codex":[0.9989241,0.00001148342,0.0003549336,0.000242463,0.0002750469,0.0001919659],"domain_scores_gemma":[0.9992272,0.00007672799,0.0004222102,0.0002120079,0.00004707312,0.00001481021],"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":[0.0001502257,0.00004395886,0.01043675,0.00001380142,0.00003527746,8.934222e-8,0.0001396121,0.00004279207,0.9845445,0.0007273147,0.0003429069,0.003522737],"study_design_scores_gemma":[0.000326375,0.0001130655,0.001609415,0.0001812925,0.00003183676,3.293821e-7,0.0005730321,0.0002281323,0.9884099,0.007780408,0.0006639544,0.00008221044],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964454,0.0000401754,0.000001591996,0.002156834,0.0001715198,0.0002397099,0.000003904155,0.0000656321,0.0008752716],"genre_scores_gemma":[0.9978219,0.00003130916,0.0006757019,0.000005017198,0.00002352511,0.00001669398,0.000001606939,0.00000922258,0.001415017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00882734,"threshold_uncertainty_score":0.312752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01826078853836876,"score_gpt":0.2519646914463979,"score_spread":0.2337039029080291,"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."}}