{"id":"W2944482458","doi":"10.2166/wst.2019.164","title":"Case study of sulfide generation and emission in sanitary sewer with drop structures and pump station","year":2019,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Tsinghua Initiative Scientific Research Program; Natural Sciences and Engineering Research Council of Canada; Tsinghua University","keywords":"Sanitary sewer; Sulfide; Odor; Environmental science; Environmental engineering; Waste management; Sewage; Engineering; Chemistry; Materials science; Metallurgy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003687993,0.0004603219,0.0004204005,0.0004912988,0.001163382,0.0005712653,0.0007565691,0.0009623423,0.001061963],"category_scores_gemma":[0.0004210586,0.0002694627,0.0004354734,0.000633289,0.0004440353,0.0003440429,0.0004083241,0.0002463998,0.0001075522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001684597,"about_ca_system_score_gemma":0.001306858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06619575,"about_ca_topic_score_gemma":0.1011332,"domain_scores_codex":[0.9997279,0.00005580989,0.000012423,0.00005017205,0.00008792193,0.0000658088],"domain_scores_gemma":[0.9995884,0.0002109364,0.00004342516,0.00002610508,0.0000801428,0.00005100725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001686892,0.002680278,0.4421044,0.0003938851,0.0002122263,0.03680515,0.002317801,0.3760909,0.1047471,0.001613902,0.001064659,0.03028284],"study_design_scores_gemma":[0.0003829394,0.005362956,0.2621954,0.00004343572,0.0002133342,0.002498485,0.008071181,0.6102959,0.1078186,0.0007726823,0.002229366,0.0001156886],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988058,0.000007048634,0.000759815,0.000009843351,0.000001028703,0.00003008084,0.00004796308,0.00001445129,0.0003239419],"genre_scores_gemma":[0.9984401,0.00001342876,0.0009436767,0.000002229081,7.999876e-7,0.00001231575,0.00003710778,0.00000165236,0.0005486624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06619575,"threshold_uncertainty_score":0.1316209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01075709393342688,"score_gpt":0.2345901757714476,"score_spread":0.2238330818380207,"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."}}