{"id":"W2605703266","doi":"10.1016/j.jenvman.2017.04.058","title":"Determination of critical operational conditions favoring sulfide production from domestic wastewater treated by a sulfur-utilizing denitrification process","year":2017,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cégep de Rivière-du-Loup; Institut National de la Recherche Scientifique","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Sulfide; Chemistry; Sulfate; Sulfur; Denitrification; Wastewater; Effluent; Environmental chemistry; Aqueous solution; Dissolved organic carbon; Inorganic chemistry; Environmental engineering; Nitrogen; Environmental science; Organic chemistry","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":[0.0003567827,0.0003276386,0.0003154156,0.0002358721,0.0003687244,0.0005982663,0.0002452175,0.0003348923,0.0005441108],"category_scores_gemma":[0.000626687,0.0001567457,0.0001996983,0.0002120337,0.0003443381,0.0002665295,0.0002096189,0.0003014921,0.00009139973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000489312,"about_ca_system_score_gemma":0.0007436395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002021084,"about_ca_topic_score_gemma":0.003675983,"domain_scores_codex":[0.9997738,0.00004578685,0.00002423576,0.00003663741,0.00007094509,0.0000486383],"domain_scores_gemma":[0.9997513,0.0001098001,0.00004223559,0.000009876518,0.00005570017,0.00003122459],"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":[0.0003790204,0.0000576516,0.0008857296,0.00004536218,0.000006486121,0.00004957117,0.00003794495,0.0003851973,0.9965581,0.00006221894,0.00003328514,0.001499424],"study_design_scores_gemma":[0.00001689943,0.0004442037,0.003031205,0.000004841879,0.00001811672,0.00003355908,0.0001280108,0.001495526,0.9944851,0.00003861621,0.0002969349,0.000006946812],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986957,0.0001268464,0.000719835,0.00003537778,0.000008812612,0.00001256071,0.00008677445,0.00001158527,0.0003026927],"genre_scores_gemma":[0.9989672,0.0001131581,0.000668662,0.000007392172,0.000003001327,0.000006452814,0.00009126134,0.000003164007,0.0001398404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002021084,"threshold_uncertainty_score":0.004018605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01401558973427228,"score_gpt":0.2715471596194078,"score_spread":0.2575315698851355,"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."}}