{"id":"W4297938350","doi":"","title":"Maximum growth and decay rates of autotrophic biomass to simulate nitrogen removal at 10°C with municipal activated sludge plants","year":2008,"lang":"en","type":"other","venue":"","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Activated sludge; Autotroph; Biomass (ecology); Environmental science; Nitrogen; Environmental chemistry; Chemistry; Waste management; Environmental engineering; Pulp and paper industry; Agronomy; Sewage treatment; Biology; Engineering; Bacteria","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":[0.0004020423,0.0003743016,0.0004319975,0.0002178766,0.000241993,0.0003132295,0.0003388392,0.0003299542,0.0003418669],"category_scores_gemma":[0.0006546424,0.0001621825,0.0004312211,0.0002631472,0.0001900545,0.0002256393,0.0002088023,0.000402012,0.00009536316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001139978,"about_ca_system_score_gemma":0.0003713937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005934055,"about_ca_topic_score_gemma":0.005824522,"domain_scores_codex":[0.9998032,0.00004099108,0.0000156793,0.00004193447,0.00007056524,0.0000275553],"domain_scores_gemma":[0.9996823,0.0001552682,0.00005854542,0.00002808204,0.0000570914,0.00001877376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006739552,0.0002456674,0.009764414,0.0002005375,0.0000254931,0.000108604,0.0001056988,0.05055279,0.9324403,0.0001322148,0.00006431976,0.005686024],"study_design_scores_gemma":[0.00004377785,0.001651486,0.02288109,0.00001153134,0.00003122992,0.00006560612,0.00008678925,0.08984298,0.8846458,0.0001494121,0.0005667096,0.00002353854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982617,0.00007509017,0.001349841,0.000009549941,0.000002055242,0.000008074056,0.000100894,0.00001954897,0.0001733094],"genre_scores_gemma":[0.9983737,0.00006326313,0.001222769,0.000003929998,5.964159e-7,0.00002280368,0.0001313191,0.000005069738,0.0001765226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005934055,"threshold_uncertainty_score":0.01179904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01460095710111121,"score_gpt":0.2253098697272669,"score_spread":0.2107089126261557,"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."}}