{"id":"W2329327508","doi":"10.1080/09593330.2015.1063704","title":"Aerobic granulation utilizing fermented municipal wastewater under low pH and alkalinity conditions in a sequencing batch reactor","year":2015,"lang":"en","type":"article","venue":"Environmental Technology","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of Otago","keywords":"Alkalinity; Chemistry; Chemical oxygen demand; Granulation; Wastewater; Fermentation; Sucrose; Ammonium; Sequencing batch reactor; Pulp and paper industry; Extracellular polymeric substance; Bioreactor; Food science; Environmental engineering; Environmental science; Biofilm; Bacteria; Biology","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":[0.0003664912,0.0004027658,0.000695354,0.0001656616,0.0002888484,0.0008331314,0.0003488899,0.0004610017,0.0001647664],"category_scores_gemma":[0.0002640631,0.0002220504,0.0005670281,0.0002883408,0.0002374903,0.0003605516,0.0003585238,0.00033733,0.0001415415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004510068,"about_ca_system_score_gemma":0.000559911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003924434,"about_ca_topic_score_gemma":0.004477025,"domain_scores_codex":[0.9996223,0.00007321138,0.00005309095,0.00007208817,0.0001196987,0.00005957176],"domain_scores_gemma":[0.9998914,0.00002181551,0.00003478975,0.00001160091,0.0000192126,0.00002118724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0000836796,0.00005905872,0.0004437497,0.00005853126,0.000007619976,0.00005112612,0.0000279259,0.0007148795,0.9955983,0.00002301233,0.000009422209,0.002922704],"study_design_scores_gemma":[0.00003147742,0.0005258336,0.005122285,0.00001129913,0.00005061437,0.0001407308,0.00006072833,0.008949206,0.9843843,0.00004844049,0.00065949,0.00001570692],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957061,0.0002559909,0.00362638,0.00003359131,0.000007362788,0.00002671164,0.00003273797,0.00003913598,0.0002720171],"genre_scores_gemma":[0.9884211,0.0006291075,0.01006407,0.00002889534,0.000005475165,0.00002447855,0.0001074131,0.00001262881,0.0007069388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003924434,"threshold_uncertainty_score":0.007803202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02450182347164902,"score_gpt":0.2393462633969325,"score_spread":0.2148444399252835,"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."}}