{"id":"W2895810397","doi":"10.1680/jenes.18.00026","title":"Treatment of sulfur and nitrogen by microoxygenated microbial sludge: stoichiometry and model","year":2018,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Thaksin University; Office of the Higher Education Commission; University of Florida","keywords":"Sulfide; Sulfate; Chemistry; Nitrification; Sulfur; Environmental chemistry; Denitrification; Denitrifying bacteria; Sulfate-reducing bacteria; Methanogenesis; Nitrate; Nitrogen; Inorganic chemistry; Methane; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002464525,0.0005226974,0.0006573278,0.0002569116,0.0003011697,0.0005077065,0.001131127,0.0009912088,0.0006702349],"category_scores_gemma":[0.0004285799,0.0002803187,0.0005551919,0.0002651787,0.000251401,0.0007537014,0.0003722388,0.0003302711,0.0001967199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001229824,"about_ca_system_score_gemma":0.0006693017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006962697,"about_ca_topic_score_gemma":0.003981612,"domain_scores_codex":[0.9998914,0.00001514081,0.000009161051,0.00002659493,0.00004447361,0.00001322334],"domain_scores_gemma":[0.9998964,0.00004561386,0.00001835027,0.000006411769,0.00002528893,0.000007956719],"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":[0.0001903787,0.0002869253,0.003139176,0.0004596578,0.0000437591,0.0002228684,0.00009230036,0.8210665,0.1587907,0.006807889,0.0003321089,0.008567666],"study_design_scores_gemma":[0.00003041012,0.0001005006,0.0007565771,0.000004579016,0.0000168693,0.00003489928,0.00002051329,0.9810436,0.01603529,0.001314305,0.0006321748,0.00001027501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.910401,0.001251446,0.07479885,0.0003859664,0.00007454032,0.0002446389,0.000731325,0.0002296036,0.01188266],"genre_scores_gemma":[0.981845,0.0009061553,0.01369524,0.00004644727,0.00001691335,0.000265826,0.000253929,0.00002320415,0.002947145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006962697,"threshold_uncertainty_score":0.01384431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005142608092349133,"score_gpt":0.1857068291810053,"score_spread":0.1805642210886561,"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."}}