{"id":"W2071391243","doi":"10.2166/wst.2012.495","title":"Towards a benchmarking tool for minimizing wastewater utility greenhouse gas footprints","year":2012,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Greenhouse gas; Activated sludge model; Environmental science; Environmental engineering; Sewage treatment; Aeration; Benchmarking; Wastewater; Activated sludge; Waste management; Engineering; Ecology","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":[0.004462241,0.001282202,0.001288355,0.001576274,0.0003942992,0.002331199,0.00192928,0.001183912,0.002074766],"category_scores_gemma":[0.01159073,0.0004841819,0.0006199134,0.002096115,0.0003390704,0.002375627,0.0009949782,0.0006561608,0.0003343758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001466338,"about_ca_system_score_gemma":0.00163501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004200921,"about_ca_topic_score_gemma":0.002516226,"domain_scores_codex":[0.997981,0.001110453,0.0001391277,0.0001970874,0.0004369556,0.0001354594],"domain_scores_gemma":[0.9971303,0.001141749,0.0002783533,0.0004968639,0.0008387646,0.0001139462],"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":[0.0001049166,0.0001133615,0.00184205,0.00008010279,0.00004067689,0.0000702508,0.00004811324,0.9435735,0.00289576,0.007607108,0.0009859363,0.0426383],"study_design_scores_gemma":[0.000009341589,0.00004977557,0.0002130835,0.00001285533,0.000007702928,0.00001434183,0.0000269254,0.9937062,0.002261525,0.002604034,0.001085864,0.000008316969],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07805321,0.0001560327,0.9110146,0.0002143473,0.0000359929,0.0001840795,0.0008117178,0.00461552,0.00491455],"genre_scores_gemma":[0.573612,0.0002316456,0.4218868,0.00006497394,0.00001116584,0.000394751,0.002317721,0.0005221025,0.0009588695],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004462241,"threshold_uncertainty_score":0.02359885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0182154516204452,"score_gpt":0.2411237928477759,"score_spread":0.2229083412273307,"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."}}