{"id":"W2046571807","doi":"10.5539/mas.v2n5p37","title":"Removal of Adsorbable Organic Halides (AOX) from Recycled Pulp and Paper (P&P) Mill Effluent Using Granular Activated Carbon–Sequencing Batch Biofilm Reactor (GAC-SBBR)","year":2008,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Chemistry; Pulp (tooth); Pulp and paper industry; Effluent; Paper mill; Pentachlorophenol; Wastewater; Chlorophenol; Hydraulic retention time; Chemical oxygen demand; Activated carbon; Biofilm; Phenol; Chromatography; Environmental chemistry; Adsorption; Environmental science; Environmental engineering; Organic chemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003821676,0.0003642933,0.0004218852,0.0001149488,0.00045232,0.00006029228,0.000521501,0.0001284818,0.0002279631],"category_scores_gemma":[0.0000291593,0.0003110143,0.00006861233,0.0008032207,0.001212029,0.0004596518,0.0003905143,0.0001650431,0.00002847112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005443097,"about_ca_system_score_gemma":0.0001095581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006010838,"about_ca_topic_score_gemma":0.0001793655,"domain_scores_codex":[0.9968857,0.00005499654,0.000424088,0.001005884,0.0009292248,0.0007001184],"domain_scores_gemma":[0.9987924,0.00006103565,0.0002102862,0.0006349823,0.00002791916,0.0002734],"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":[0.00007122754,0.0000652948,0.004531637,0.000005549536,0.00001664272,0.00005042812,0.001453678,0.0001247954,0.9928185,0.0000083165,0.000006250275,0.0008476282],"study_design_scores_gemma":[0.000741231,0.00003595115,0.003985098,0.00003117042,0.00005250526,0.000180145,0.0001147677,0.01432798,0.9786084,0.001418864,0.0001128771,0.0003910649],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969503,0.0001829596,0.0009628445,0.00003112001,0.00007781569,0.0003201711,0.00001351678,0.00007385591,0.001387474],"genre_scores_gemma":[0.9697894,0.00005368015,0.02985203,0.00007847984,0.00003013934,0.00001007464,0.00001139975,0.00003727717,0.0001375232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02888919,"threshold_uncertainty_score":0.9999342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02624926101328266,"score_gpt":0.2152064241269035,"score_spread":0.1889571631136209,"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."}}