{"id":"W2569585178","doi":"10.1016/j.watres.2016.12.050","title":"Low temperature MBBR nitrification: Microbiome analysis","year":2017,"lang":"en","type":"article","venue":"Water Research","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":161,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"U.S. Environmental Protection Agency","keywords":"Nitrification; Moving bed biofilm reactor; Nitrospira; Nitrifying bacteria; Ammonia; Environmental chemistry; Biofilm; Chemistry; Denitrifying bacteria; Nitrobacter; Environmental engineering; Denitrification; Bacteria; Environmental science; Biology; Nitrogen; 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006858481,0.0001141857,0.0001420884,0.0001508799,0.001119847,0.0004558449,0.000770618,0.00008414949,0.005191879],"category_scores_gemma":[0.00001211067,0.00007004405,0.000114726,0.0002595067,0.0003925967,0.0002654693,0.0004600714,0.0002037499,0.007570703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001096534,"about_ca_system_score_gemma":0.000006333788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006149235,"about_ca_topic_score_gemma":0.0001173267,"domain_scores_codex":[0.998349,0.000116053,0.0001251708,0.0003991462,0.0004800546,0.0005305724],"domain_scores_gemma":[0.9988037,0.000006487078,0.00002423573,0.001008415,0.00002775996,0.0001294436],"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":[0.00002318618,0.0000851708,0.03005306,0.000003738588,0.0001147349,0.00004236505,0.0002536051,0.00001202303,0.9658202,0.000005737355,0.00311422,0.0004719803],"study_design_scores_gemma":[0.0002527952,0.00003252964,0.05109131,0.000003333867,0.00004323722,0.000004894099,0.00003011934,0.00003363974,0.9389264,0.0001596275,0.009309818,0.0001122842],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933152,0.00001728529,0.000002389092,0.001241265,0.00004206163,0.0001844623,0.000009332027,0.00002095723,0.005167004],"genre_scores_gemma":[0.966376,0.000009347584,0.0005352977,0.0000202725,0.00006769762,0.00002379091,0.00007122679,0.0000115019,0.03288486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02771785,"threshold_uncertainty_score":0.9957175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04046201611999115,"score_gpt":0.3180584211370326,"score_spread":0.2775964050170415,"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."}}