{"id":"W2010040744","doi":"10.1007/s00253-014-6363-6","title":"Rapid formation of nitrifying granules treating high-strength ammonium wastewater in a sequencing batch reactor","year":2015,"lang":"en","type":"article","venue":"Applied Microbiology and Biotechnology","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Granule (geology); Granulation; Sequencing batch reactor; Ammonium; Wastewater; Chemistry; Nitrifying bacteria; Nitrification; Mixed liquor suspended solids; Nitrogen; Ammonia; Settling; Chromatography; Activated sludge; Pulp and paper industry; Biology; Environmental engineering; Materials science; Biochemistry; Environmental science; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002038247,0.0001705311,0.0002756346,0.0001380594,0.00004610201,0.000005751006,0.0001338935,0.0004064332,0.00002618195],"category_scores_gemma":[0.000009197705,0.0001315619,0.00002580029,0.0001924193,0.0003548045,0.00008592385,0.0001715508,0.0001775091,0.00003909444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001222333,"about_ca_system_score_gemma":0.00001002982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003511908,"about_ca_topic_score_gemma":0.0002202653,"domain_scores_codex":[0.9990253,0.00004188422,0.0002934431,0.0002916162,0.00003500369,0.0003127454],"domain_scores_gemma":[0.9996396,0.00003236378,0.000123183,0.0001617659,0.000004822326,0.0000382545],"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":[0.0001139441,0.00003693198,0.002287845,0.000009384923,0.00001130566,0.000007826377,0.000492401,0.000005064107,0.988144,0.0002132915,0.00002967368,0.008648356],"study_design_scores_gemma":[0.001115831,0.0001411116,0.0002188447,0.00001139358,0.00001753422,0.00007975494,0.0008088514,0.00002814995,0.9962564,0.000660931,0.0005243219,0.0001368914],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989223,0.0001774586,0.00003368739,0.0002316943,0.00004035014,0.0002088609,0.00001125203,0.00005404326,0.0003202862],"genre_scores_gemma":[0.9916182,0.00008069143,0.008147147,0.00002903309,0.00001026886,0.00001642147,0.00007103628,0.000008908464,0.0000183076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008511465,"threshold_uncertainty_score":0.5364938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462732839378518,"score_gpt":0.194468563369901,"score_spread":0.1798412349761158,"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."}}