{"id":"W4408748724","doi":"10.1002/wer.70059","title":"Maximizing the efficiency of single‐stage partial nitrification/Anammox granule processes and balancing microbial competition using insights of a numerical model study","year":2025,"lang":"en","type":"article","venue":"Water Environment Research","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; National Research Foundation of Korea; National Research Foundation","keywords":"Anammox; Chemistry; Population; Ammonia; Saturation (graph theory); Nitrite; Reaction rate constant; Bacterial growth; Oxygen; Environmental chemistry; Bacteria; Nitrogen; Kinetics; Denitrification; Biology; Biochemistry; Denitrifying bacteria","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":[0.000237491,0.0004746008,0.0005166365,0.0002090038,0.0002856287,0.0006652495,0.000491358,0.0007912472,0.0008569007],"category_scores_gemma":[0.0005686743,0.000228777,0.0004895751,0.0001543721,0.0002986709,0.0005037714,0.0003872972,0.0003184892,0.00007641364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006219755,"about_ca_system_score_gemma":0.0006044639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005462815,"about_ca_topic_score_gemma":0.002633929,"domain_scores_codex":[0.9999341,0.0000159518,0.000003873272,0.00001496754,0.00001534926,0.00001575004],"domain_scores_gemma":[0.9998261,0.00009118751,0.00003060256,0.00001202782,0.00002635214,0.00001370639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000309092,0.00005543831,0.0007955395,0.00004518827,0.00001206026,0.00004457746,0.00001594894,0.9737563,0.01968467,0.002938248,0.00009118657,0.002529877],"study_design_scores_gemma":[0.000003665596,0.00001243864,0.00007139298,0.00000117772,0.000002262177,0.000002893002,0.000002634882,0.9986885,0.001006162,0.0001525008,0.00005435981,0.000001941408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8604869,0.0006481357,0.1273662,0.0003837895,0.00005208029,0.00007405038,0.0001096688,0.0001489531,0.01073016],"genre_scores_gemma":[0.9893206,0.0001561001,0.009466343,0.00001744144,0.000005538483,0.00004077041,0.00002208026,0.000009976528,0.0009610332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005462815,"threshold_uncertainty_score":0.01086205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04321198509026256,"score_gpt":0.2828971914198104,"score_spread":0.2396852063295478,"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."}}