{"id":"W2989218630","doi":"10.18178/ijesd.2019.10.9.1183","title":"Impact of Dissolved Oxygen Concentration and DPAOs: Nitrifiers Population Ratio on Nutrient Removal in EBPR Process","year":2019,"lang":"en","type":"article","venue":"International Journal of Environmental Science and Development","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nutrient; Enhanced biological phosphorus removal; Oxygen; Nitrification; Population; Chemistry; Process (computing); Environmental chemistry; Environmental science; Activated sludge; Environmental engineering; Sewage treatment; Nitrogen; Computer science; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0003907464,0.0001109685,0.000135294,0.0000932671,0.00005098744,0.00003854269,0.0001800196,0.00002883958,0.0001842978],"category_scores_gemma":[0.00001592074,0.00008244006,0.0000293753,0.0001080508,0.0001756442,0.0005528459,0.00007365807,0.00006687985,0.00001256785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007418998,"about_ca_system_score_gemma":0.00005815074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003685556,"about_ca_topic_score_gemma":0.0000046922,"domain_scores_codex":[0.998367,0.00001890244,0.0003626524,0.0001934136,0.0009074419,0.0001506593],"domain_scores_gemma":[0.9995751,0.00001886609,0.0002391401,0.00005352216,0.00001630912,0.00009703705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000235368,0.000207425,0.8483832,0.000002186841,0.00002591436,0.00001681984,0.001118827,0.0006606638,0.1409844,0.00001887379,0.000005900733,0.008340365],"study_design_scores_gemma":[0.001035225,0.000242335,0.9662628,0.00003703031,0.000004036838,0.00006633457,0.0002774746,0.0002778576,0.0315478,0.0001018021,0.00005351947,0.0000938216],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994154,0.00003313799,0.00001429632,0.00004363897,0.0001116656,0.0001668803,0.000003601727,0.000001681127,0.0002096937],"genre_scores_gemma":[0.9988354,0.00004964243,0.001029701,0.00002883004,0.00001395914,0.000001719025,0.000006519241,0.000003996612,0.00003021063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1178795,"threshold_uncertainty_score":0.3361808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007373942363166518,"score_gpt":0.2459991576213628,"score_spread":0.2386252152581963,"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."}}