{"id":"W1984655317","doi":"10.1080/09593332608618501","title":"Missing Aerobic-Phase Nitrogen: the Potential for Heterotrophic Reduction of Autotrophically Generated Nitrous Oxide in a Sequencing Batch Reactor Wastewater Treatment System","year":2005,"lang":"en","type":"article","venue":"Environmental Technology","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"BGC Engineering (Canada)","funders":"","keywords":"Heterotroph; Autotroph; Denitrification; Aerobic denitrification; Nitrification; Chemistry; Environmental chemistry; Bioreactor; Biomass (ecology); Anoxic waters; Nitrous oxide; Wastewater; Nitrite; Sequencing batch reactor; Nitrate; Denitrifying bacteria; Nitrogen; Environmental engineering; Ecology; Environmental science; Biology; Bacteria","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004991319,0.0003731327,0.0005277215,0.0001543107,0.0002068792,0.0004966155,0.0003686258,0.0003521098,0.0002352942],"category_scores_gemma":[0.0002130701,0.0001652697,0.0003312054,0.0001594821,0.0001347939,0.0003106443,0.000256466,0.0002504144,0.0001339678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003319194,"about_ca_system_score_gemma":0.0004831637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003005389,"about_ca_topic_score_gemma":0.004198741,"domain_scores_codex":[0.9997069,0.00005829825,0.00002747655,0.00005857434,0.0001165119,0.00003206173],"domain_scores_gemma":[0.999876,0.00002745385,0.00002530103,0.00001237579,0.00002396646,0.00003490341],"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":[0.00009624294,0.00004563444,0.000509265,0.00006328432,0.000007912506,0.00002982622,0.00001214605,0.0005537042,0.9963422,0.00002793297,0.000008969935,0.002302902],"study_design_scores_gemma":[0.00001438731,0.0007489095,0.003852055,0.000009530949,0.0000323994,0.0001001314,0.00003509741,0.006211177,0.9882718,0.00006072253,0.0006541599,0.000009657941],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969262,0.000335291,0.002204297,0.00003105572,0.00001105343,0.00001636359,0.00006938406,0.00001864032,0.0003876751],"genre_scores_gemma":[0.9935888,0.0005647407,0.004687451,0.0000293732,0.000005574528,0.00002531638,0.0001922659,0.000008965703,0.0008975987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003005389,"threshold_uncertainty_score":0.005975783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01037646971685282,"score_gpt":0.2182620035987655,"score_spread":0.2078855338819127,"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."}}