{"id":"W2118038778","doi":"10.2166/wqrj.2009.025","title":"Biological Phosphorus Removal and Denitrification of a Fish Farm Effluent in a Sequencing Moving Bed Biofilm Reactor","year":2009,"lang":"en","type":"article","venue":"Water Quality Research Journal","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Montreal Biodome; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Denitrification; Effluent; Anoxic waters; Chemistry; Phosphorus; Enhanced biological phosphorus removal; Chemical oxygen demand; Sequencing batch reactor; Nitrate; Bioreactor; Phosphate; Environmental chemistry; Pulp and paper industry; Blackwater; Anaerobic exercise; Environmental engineering; Nitrogen; Wastewater; Activated sludge; Environmental science; Biology; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004753646,0.0005313815,0.0006066947,0.0001915692,0.0003035589,0.0003502097,0.000368319,0.000483604,0.0002844862],"category_scores_gemma":[0.0002562374,0.000230764,0.0004853878,0.0002067102,0.0001479431,0.0002429543,0.000294471,0.0003528784,0.0001764494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005114992,"about_ca_system_score_gemma":0.0007099907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008053717,"about_ca_topic_score_gemma":0.008714321,"domain_scores_codex":[0.9997352,0.0000425309,0.00002385503,0.00005960213,0.0001001024,0.00003868743],"domain_scores_gemma":[0.9998902,0.00001745609,0.00002178962,0.000006243331,0.00003039499,0.000033851],"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":[0.00008603985,0.00004680297,0.0005927469,0.00003232503,0.000005432692,0.00002669478,0.00001647737,0.000296096,0.9977288,0.000008001678,0.000008701584,0.001151953],"study_design_scores_gemma":[0.00005857733,0.002496315,0.02104694,0.00001638302,0.00006640158,0.0001719979,0.0001073813,0.007232246,0.968113,0.00002928737,0.000642364,0.00001917321],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989997,0.0001007426,0.0007043487,0.00001813109,0.000003972304,0.00001043831,0.00003483196,0.00001088359,0.0001170586],"genre_scores_gemma":[0.9922576,0.0002673036,0.006093453,0.0000301127,0.000004905389,0.00002362165,0.0001979597,0.00000850367,0.001116576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008053717,"threshold_uncertainty_score":0.01601368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1112505892631908,"score_gpt":0.3508268855835421,"score_spread":0.2395762963203513,"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."}}