{"id":"W3044602439","doi":"10.1111/1751-7915.13633","title":"Correlation of extracellular polymeric substances and microbial community structure in denitrification biofilm exposed to adverse conditions","year":2020,"lang":"en","type":"article","venue":"Microbial Biotechnology","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Major Science and Technology Program for Water Pollution Control and Treatment; National Natural Science Foundation of China","keywords":"Biofilm; Denitrification; Extracellular polymeric substance; Microbial population biology; Extracellular polysaccharide; Chemistry; Biomass (ecology); Polysaccharide; Nitrate; Extracellular; Food science; Microbiology; Environmental chemistry; Bacteria; Biochemistry; Biology; Nitrogen; Ecology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001869228,0.0002884191,0.0003143352,0.0003429995,0.0001517669,0.0003193518,0.0001002733,0.0002898294,0.000272536],"category_scores_gemma":[0.0003024579,0.0001529889,0.0001942548,0.0002101887,0.0001416166,0.0002415691,0.0003526013,0.000317043,0.00005821955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001503456,"about_ca_system_score_gemma":0.0001768814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001344555,"about_ca_topic_score_gemma":0.001601834,"domain_scores_codex":[0.9998072,0.00002094898,0.00001379276,0.00006039757,0.00005477738,0.00004280526],"domain_scores_gemma":[0.9998353,0.00002169901,0.00004596897,0.000006350948,0.00005810014,0.00003266055],"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":[0.00009741291,0.00003507112,0.02055634,0.00005201076,0.00002868748,0.00007451305,0.0001268437,0.0001164023,0.9757165,0.000037129,0.00001963338,0.003139518],"study_design_scores_gemma":[0.00001075241,0.0005310449,0.5918884,0.00002659178,0.0001000418,0.0004351608,0.0008684457,0.004496749,0.4000668,0.0002665523,0.001271175,0.00003826226],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988979,0.0003063894,0.0004761938,0.00001611836,0.000003674065,0.000006459916,0.00009509839,0.000004997695,0.000193016],"genre_scores_gemma":[0.9981749,0.0002886943,0.0008162547,0.00001912214,0.000002927002,0.00001622792,0.0002125367,0.000002228528,0.0004669893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001344555,"threshold_uncertainty_score":0.002673447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01138051980818934,"score_gpt":0.2038083616911577,"score_spread":0.1924278418829684,"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."}}