{"id":"W2112989303","doi":"10.1139/s04-033","title":"Décoloration des eaux usées de levurerie par adsorption sur charbon","year":2004,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adsorption; Chemistry; Freundlich equation; Activated charcoal; Wastewater; Saturation (graph theory); Charcoal; Dissolved organic carbon; Chemical oxygen demand; Activated carbon; Langmuir; Environmental chemistry; Organic matter; Chromatography; Nuclear chemistry; Pulp and paper industry; Environmental engineering; Organic chemistry; Environmental science","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":[0.0005043315,0.0001104128,0.0001064851,0.00008545579,0.0001315748,0.00005146484,0.00015188,0.00004334021,0.0001641584],"category_scores_gemma":[0.00004178868,0.0000936228,0.00004693248,0.0001851546,0.0004967448,0.0007440352,0.00006295463,0.0001308488,0.00002515944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004479442,"about_ca_system_score_gemma":0.00002489078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001334279,"about_ca_topic_score_gemma":0.000003415407,"domain_scores_codex":[0.9989893,0.000009433654,0.0002317989,0.0001481666,0.0003885461,0.0002327002],"domain_scores_gemma":[0.9995875,0.000009844685,0.0001256177,0.00007512693,0.000004165158,0.0001977745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001216312,0.00005233478,0.004871472,0.000003140904,0.000002719001,0.000007166185,0.0002602666,0.03171924,0.9600298,0.00007964743,0.000006814481,0.002955286],"study_design_scores_gemma":[0.001043262,0.000519498,0.8190508,0.00006680191,0.00002393591,0.0009941295,0.0001835968,0.01382182,0.1611221,0.0006650815,0.002168529,0.000340438],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955928,0.0001009312,0.003864361,0.0001318,0.0001152702,0.00004769653,0.000002780917,0.00001398964,0.00013039],"genre_scores_gemma":[0.9954745,0.0002633421,0.004093846,0.00005920382,0.00004919108,8.048823e-7,4.151794e-7,0.000007015856,0.00005168319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8141794,"threshold_uncertainty_score":0.3817827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007344780993171073,"score_gpt":0.1888107176840108,"score_spread":0.1814659366908397,"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."}}