{"id":"W4388539600","doi":"10.1093/femsec/fiad142","title":"Impact of wastewater treatment upgrade and nitrogen removal on bacterial communities and their interactions in eutrophic prairie streams","year":2023,"lang":"en","type":"article","venue":"FEMS Microbiology Ecology","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Alberta; University of Regina; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation; University of Regina","keywords":"Eutrophication; Nitrospira; Betaproteobacteria; Environmental science; Nutrient; Ecology; Nutrient pollution; Phytoplankton; Nitrosomonas; Effluent; Lake ecosystem; Nitrate; Biology; Ecosystem; Environmental engineering; Bacteria; 16S ribosomal RNA; Actinobacteria","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":[0.000625572,0.0003087057,0.0004292169,0.0004035052,0.0004479252,0.0007388136,0.0002088705,0.0003364589,0.0003729698],"category_scores_gemma":[0.0006558407,0.0002417262,0.0003286964,0.0004410315,0.0003598245,0.0003750008,0.0006403124,0.0003430795,0.0000860278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006877532,"about_ca_system_score_gemma":0.0005530229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01228775,"about_ca_topic_score_gemma":0.02390588,"domain_scores_codex":[0.9993817,0.000106053,0.00005772415,0.0001868957,0.0001732679,0.00009436972],"domain_scores_gemma":[0.9995897,0.00006872378,0.0001412619,0.00001816167,0.00009707073,0.00008501046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009422179,0.0007882404,0.574595,0.0001440168,0.0001520854,0.0002770052,0.0009843772,0.001510171,0.4049534,0.00006337166,0.00008921951,0.01550075],"study_design_scores_gemma":[0.000006733607,0.0005285974,0.9913242,0.000005731664,0.0000185577,0.00003548726,0.0003754224,0.0008324277,0.006589098,0.00002285185,0.0002528117,0.000008116341],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998442,0.00002720945,0.00002521881,0.000004183267,6.957765e-7,0.000002244161,0.0000218045,0.000001076468,0.00007333406],"genre_scores_gemma":[0.9990395,0.0001023707,0.0003404502,0.00002365041,0.000002362263,0.00000997388,0.0001626374,0.000001550227,0.0003174882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01228775,"threshold_uncertainty_score":0.02443248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02178245588497729,"score_gpt":0.2618821183877385,"score_spread":0.2400996625027612,"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."}}