{"id":"W2413288164","doi":"10.2175/106143012x13354606450924","title":"Effects of Long Exposure to Low Temperatures on Nitrifying Biofilm and Biomass in Wastewater Treatment","year":2012,"lang":"en","type":"article","venue":"Water Environment Research","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; McGill University; University of Ottawa","funders":"","keywords":"Biofilm; Nitrifying bacteria; Scanning electron microscope; Environmental scanning electron microscope; Nitrite; Oxidizing agent; Environmental chemistry; Fluorescence microscope; Microscopy; Chemistry; Bacteria; Nitrification; Confocal laser scanning microscopy; Confocal; Fluorescence in situ hybridization; Bioreactor; Microbiology; Biology; Fluorescence; Materials science; Ecology; Biochemistry; Nitrogen; Nitrate","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":[0.0003735228,0.0004832616,0.0005437153,0.0001538144,0.000407656,0.0006111652,0.0002688876,0.0006224888,0.001358556],"category_scores_gemma":[0.0006463376,0.0002987908,0.0005090495,0.0001454189,0.0003847815,0.0003586229,0.0005104114,0.0005793441,0.0002496716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007349096,"about_ca_system_score_gemma":0.000400551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002302839,"about_ca_topic_score_gemma":0.004273284,"domain_scores_codex":[0.9996454,0.0001132756,0.00003357653,0.00005719059,0.00007206431,0.00007850579],"domain_scores_gemma":[0.9995141,0.0001132459,0.0001468377,0.0000343659,0.00009570174,0.00009581626],"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":[0.001308037,0.00009463949,0.002032403,0.00009914511,0.00003895396,0.00008166584,0.00009024666,0.0002268649,0.9936683,0.00001869566,0.00005451232,0.002286451],"study_design_scores_gemma":[0.00003773764,0.003111223,0.05368512,0.00003051858,0.0001075848,0.0001548336,0.0003252047,0.0008804991,0.9404369,0.00009594086,0.001095635,0.0000386354],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978404,0.001115407,0.0004686872,0.00007536483,0.00002956132,0.00001147428,0.00014887,0.00001270951,0.0002973908],"genre_scores_gemma":[0.9973139,0.0004216759,0.0008376327,0.00006652556,0.00001572478,0.00003383675,0.0002514494,0.00001644395,0.00104286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002302839,"threshold_uncertainty_score":0.005332172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02167625398244427,"score_gpt":0.2674140889296475,"score_spread":0.2457378349472032,"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."}}