{"id":"W2618781123","doi":"10.1016/j.cej.2017.05.141","title":"An enhanced counter-current approach towards activated carbon from waste tissue with zero liquid discharge","year":2017,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Carbonization; Activated carbon; Sorbent; Materials science; Carbon fibers; Evaporation; Water treatment; Chemical engineering; BET theory; Waste management; Pulp and paper industry; Nuclear chemistry; Chemistry; Environmental science; Environmental engineering; Adsorption; Organic chemistry; 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":[0.0002052422,0.0005070115,0.0003665425,0.000354191,0.0002704797,0.0006112689,0.0008792895,0.0006096279,0.0009060226],"category_scores_gemma":[0.000243837,0.0001779335,0.0003232041,0.0002005704,0.000415218,0.0005806836,0.0005240563,0.0006660821,0.000506726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004642084,"about_ca_system_score_gemma":0.0003553302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003810349,"about_ca_topic_score_gemma":0.0008343383,"domain_scores_codex":[0.9998069,0.00001877299,0.00001422733,0.00004327993,0.00008577333,0.00003101717],"domain_scores_gemma":[0.999876,0.00002291564,0.00002316299,0.00001821698,0.00004172955,0.00001800972],"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":[0.00004967933,0.00002107632,0.000043258,0.00007008489,0.000003933789,0.00004680224,0.00002092555,0.00006823688,0.9962631,0.0003032711,0.0000711005,0.003038645],"study_design_scores_gemma":[0.000006597326,0.00007391513,0.00009294663,0.00000247105,0.000005426554,0.00005763372,0.000008082973,0.0008578285,0.9977713,0.0000392093,0.001079853,0.000004802129],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9324652,0.003678522,0.05639698,0.0007887865,0.0004990928,0.0001591427,0.0001320826,0.0006209202,0.005259188],"genre_scores_gemma":[0.978696,0.0008565747,0.01513915,0.0002506759,0.0000630681,0.00005744596,0.00009242047,0.00004946973,0.004795075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009060226,"threshold_uncertainty_score":0.003368139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009174691515456074,"score_gpt":0.2300206114216165,"score_spread":0.2208459199061605,"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."}}