{"id":"W2421302266","doi":"","title":"Nitrogen Removal by the Combined Partial Nitrification and Anammox Processes in the BioCAST Technology.","year":2016,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Anammox; Nitrification; Anoxic waters; Environmental chemistry; Ammonium; Nitrogen; Wastewater; Chemistry; Microaerophile; Bioreactor; Environmental engineering; Nitrogen cycle; Nitrite; Pulp and paper industry; Bacteria; Environmental science; Nitrate; Denitrification; Biology; Organic chemistry; Denitrifying bacteria; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005488014,0.0002608981,0.0002202027,0.0003887574,0.001029267,0.00013359,0.001003549,0.0002830947,0.00005189036],"category_scores_gemma":[0.00005735576,0.0001604298,0.00006707522,0.001641657,0.0007700451,0.0002375455,0.0001614836,0.0006078515,0.00007568838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004114515,"about_ca_system_score_gemma":0.0001775198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005878017,"about_ca_topic_score_gemma":0.008648746,"domain_scores_codex":[0.9974149,0.0005071626,0.0002098697,0.00062403,0.0006619295,0.0005820548],"domain_scores_gemma":[0.9989711,0.0002066904,0.0001434833,0.0005388983,0.00004465069,0.00009519459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003652673,0.0008912857,0.6139166,0.0002235531,0.0004240527,0.003122408,0.004430624,0.000002312122,0.3542758,0.001429779,0.008358894,0.009271963],"study_design_scores_gemma":[0.003580675,0.001356036,0.07779308,0.0002431816,0.0002858002,0.0004034614,0.01865054,0.00003936535,0.7999102,0.005869556,0.09074988,0.001118178],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777991,0.0003597464,0.000001680635,0.00161823,0.0001038801,0.0008252118,0.00001510771,0.00004462538,0.01923238],"genre_scores_gemma":[0.9813231,0.0002456848,0.00001381649,0.000007124645,0.00007335092,0.00001949624,0.00008322605,0.00002371184,0.01821052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5361236,"threshold_uncertainty_score":0.8885843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01486070369547961,"score_gpt":0.2434247868296676,"score_spread":0.228564083134188,"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."}}