{"id":"W3023631711","doi":"10.1016/j.bej.2020.107630","title":"Single reactor nitritation-denitritation for high strength digested biosolid thickening lagoon supernatant treatment","year":2020,"lang":"en","type":"article","venue":"Biochemical Engineering Journal","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Denitrifying bacteria; Chemistry; Hydraulic retention time; Nitrosomonas; Pulp and paper industry; Alkalinity; Sequencing batch reactor; Nitrification; Denitrification; Wastewater; Environmental chemistry; Nitrogen; Environmental engineering; Environmental science; Organic chemistry","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":[0.0002820074,0.0005041559,0.000596341,0.0001727026,0.0003639879,0.0004754113,0.0003474624,0.0003575249,0.0008645374],"category_scores_gemma":[0.0001375531,0.0001777873,0.0004499485,0.0001354251,0.0001781277,0.0002533082,0.0004505609,0.0005399279,0.0002979082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000436824,"about_ca_system_score_gemma":0.0005691213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003301832,"about_ca_topic_score_gemma":0.008097456,"domain_scores_codex":[0.9998141,0.00001869015,0.00001609384,0.00005001413,0.00005230266,0.00004884796],"domain_scores_gemma":[0.9999006,0.00001758449,0.00001906691,0.000009775143,0.00002324314,0.00002978649],"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":[0.0001873073,0.00004990787,0.0001924504,0.0000376706,0.0000053411,0.00001771789,0.00001345135,0.00014962,0.9977707,0.00001295513,0.00001969642,0.001543161],"study_design_scores_gemma":[0.00001530325,0.0003632705,0.001698271,0.000002551737,0.0000141995,0.00002995908,0.00002494874,0.001268823,0.996282,0.000008615873,0.0002848517,0.000007029496],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966621,0.0002572243,0.00244052,0.00002229276,0.00002689011,0.0000348885,0.00009078657,0.00004557719,0.0004197046],"genre_scores_gemma":[0.9947785,0.0002278737,0.00349221,0.00001356529,0.000006406605,0.0000256599,0.0001185276,0.00001190434,0.001325274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003301832,"threshold_uncertainty_score":0.006565213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01894668105134935,"score_gpt":0.2078183753168841,"score_spread":0.1888716942655348,"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."}}