{"id":"W2898227498","doi":"10.2166/wst.2018.447","title":"Operational modifications for the development of nitrifying bacteria in a large-scale biological aerated filter and its impact on wastewater treatment","year":2018,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; École de Technologie Supérieure; Université du Québec à Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; National Science Council","keywords":"Nitrification; Backwashing; Nitrifying bacteria; Nitrobacter; Aeration; Wastewater; Biofilm; Pulp and paper industry; Environmental chemistry; Microorganism; Bacteria; Population; Trickling filter; Chemistry; Microbiology; Environmental engineering; Biology; Environmental science; Ecology; Nitrogen","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":[0.000424049,0.0004901229,0.0004235953,0.0001264253,0.0002308146,0.0005466666,0.0003945339,0.0004589956,0.0008208905],"category_scores_gemma":[0.0006836447,0.0001420713,0.0005140961,0.0001167694,0.0002077896,0.0003600008,0.0003815841,0.0003852618,0.000176825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003061482,"about_ca_system_score_gemma":0.0003604321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001636486,"about_ca_topic_score_gemma":0.002438268,"domain_scores_codex":[0.9995859,0.00006794146,0.00005340762,0.00008450614,0.0001484204,0.00005978849],"domain_scores_gemma":[0.9996496,0.00008630726,0.0001028012,0.00004903468,0.00006955344,0.00004259346],"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":[0.00006508891,0.00005453762,0.0003630403,0.00003203256,0.000005454429,0.00001806492,0.0000161983,0.0000902313,0.9985811,0.000006604727,0.000006577554,0.0007611071],"study_design_scores_gemma":[0.00000944445,0.00114743,0.008608062,0.000008027365,0.00003370316,0.00007400633,0.00007247477,0.0007263441,0.9887611,0.00001606851,0.0005322662,0.00001102347],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982513,0.0001187091,0.001306197,0.00002927827,0.00001669069,0.00003167162,0.00007671204,0.000029743,0.0001397348],"genre_scores_gemma":[0.9950196,0.0001452223,0.004021354,0.00003026793,0.000006677272,0.0000506675,0.0002115063,0.00001199435,0.0005026434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001636486,"threshold_uncertainty_score":0.003253937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03541774344881569,"score_gpt":0.2802564500941211,"score_spread":0.2448387066453055,"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."}}