{"id":"W2065678215","doi":"10.1139/s06-050","title":"Isolation and screening of fungi to determine potential for ammonia nitrogen treatment in wastewater","year":2007,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Ammonium; Nitrification; Wastewater; Nitrogen; Sewage treatment; Denitrification; Nutrient; Nitrate; Environmental chemistry; Chemistry; Nitrite; Aerobic denitrification; Ammonia; Environmental engineering; Environmental science; Denitrifying bacteria; Biochemistry; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004145706,0.0001048015,0.0001462782,0.0001510704,0.00004989312,0.00001658771,0.00008069914,0.00002425458,0.00001211133],"category_scores_gemma":[0.00000655906,0.00008150393,0.00003767795,0.0001036721,0.0001027238,0.0002374204,0.0000620026,0.00003560868,9.088443e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001279866,"about_ca_system_score_gemma":0.000003953183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002132561,"about_ca_topic_score_gemma":0.000006226774,"domain_scores_codex":[0.9991632,0.000004633828,0.000261821,0.000144824,0.0002054178,0.0002201402],"domain_scores_gemma":[0.9996921,0.00002626323,0.00007565135,0.0000585922,0.00000238502,0.0001449785],"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":[0.00009041654,0.00005234532,0.03850299,0.00000342143,0.00000736841,0.0000147946,0.0003488141,0.00616947,0.9358767,0.000001242236,7.121313e-7,0.01893176],"study_design_scores_gemma":[0.001726104,0.001400192,0.399368,0.00004125477,0.00004372694,0.0002743704,0.000255164,0.02569265,0.5707847,0.0000343467,0.0001774815,0.0002020047],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995717,0.0001487137,0.003922776,0.0000186145,0.00004686923,0.0001325076,0.000003898884,0.000002202109,0.000007444933],"genre_scores_gemma":[0.9222042,0.0000270126,0.07770963,0.000005325134,0.0000222124,0.000001426779,4.516383e-7,0.000006174721,0.00002357764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3650919,"threshold_uncertainty_score":0.3323634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007446973240979282,"score_gpt":0.2000045137126894,"score_spread":0.1925575404717101,"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."}}