{"id":"W4400110991","doi":"10.1016/j.biortech.2024.131056","title":"Treatment of high ammonia anaerobically digested molasses wastewater using aerobic granular sludge reactor","year":2024,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Environment and Protected Areas; University of Alberta","funders":"City of Calgary; National Research Council Canada; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Denitrification; Wastewater; Chemistry; Thiobacillus; Anaerobic digestion; Heterotroph; Autotroph; Pulp and paper industry; Sewage treatment; Environmental chemistry; Waste management; Nitrogen; Environmental engineering; Environmental science; Methane; Bacteria; Biology; Sulfur","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":[0.0001537249,0.0006339777,0.0004796466,0.0002038574,0.0002311322,0.0004805062,0.0001874491,0.0003479361,0.0002369875],"category_scores_gemma":[0.0001042763,0.0001171269,0.000418423,0.0002748899,0.0001400374,0.0002384426,0.0002823354,0.0002491465,0.0001005303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004584796,"about_ca_system_score_gemma":0.0004836904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003574401,"about_ca_topic_score_gemma":0.005694262,"domain_scores_codex":[0.9997761,0.0000326441,0.00002530622,0.00005320515,0.00007253851,0.00004020428],"domain_scores_gemma":[0.9999585,0.000004263366,0.00001292327,0.000002877528,0.00000912499,0.00001231366],"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":[0.00006966904,0.00004200397,0.0006273893,0.00009946299,0.00001201544,0.00007098963,0.00001394507,0.0003479065,0.9953787,0.00001720571,0.00001290626,0.003307839],"study_design_scores_gemma":[0.00002666468,0.0005184469,0.008737328,0.00001485112,0.00005852229,0.0001440016,0.00009387991,0.003084255,0.9854645,0.00005051176,0.001794791,0.00001230353],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971159,0.000723288,0.001541281,0.00004459271,0.00002448109,0.00001868279,0.00005932025,0.00002147294,0.0004510084],"genre_scores_gemma":[0.9960881,0.0006990635,0.002249631,0.00002898212,0.000009517359,0.000009312934,0.0001072234,0.000005578663,0.0008025859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003574401,"threshold_uncertainty_score":0.007107198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01349782229771848,"score_gpt":0.2295467225945441,"score_spread":0.2160489002968256,"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."}}