{"id":"W4226054165","doi":"10.2166/9781789060461","title":"Quantification and Modelling of Fugitive Greenhouse Gas Emissions from Urban Water Systems","year":2022,"lang":"en","type":"book","venue":"IWA Publishing eBooks","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Greenhouse gas; Scope (computer science); Fugitive emissions; Environmental science; Environmental engineering; Wastewater; Sewage treatment; Nitrous oxide; Methane; Waste management; Engineering; Environmental economics; Computer science; Chemistry; 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":[0.0004803911,0.0006349367,0.0004320178,0.0003992186,0.0004340258,0.001574583,0.0007155123,0.001092348,0.002544814],"category_scores_gemma":[0.0009010496,0.0003896341,0.0008805181,0.0005552248,0.000692881,0.001257038,0.0008147098,0.0009146206,0.0003205766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00168152,"about_ca_system_score_gemma":0.0007988501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0222283,"about_ca_topic_score_gemma":0.01171186,"domain_scores_codex":[0.9997982,0.000065217,0.000007356411,0.0000450707,0.00005871688,0.00002531741],"domain_scores_gemma":[0.9996684,0.0002174428,0.00002999293,0.00001535115,0.00005845467,0.00001025639],"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":[0.00000415312,0.000008109197,0.0002063028,0.00002332576,0.000008091683,0.00001935159,0.00001625891,0.9878847,0.0005251646,0.008216582,0.000474032,0.002613875],"study_design_scores_gemma":[0.000001753534,0.000007640357,0.00017359,0.000006601239,0.000002883555,0.000004169794,0.0000140368,0.994412,0.0002725605,0.004013253,0.001087401,0.000004189318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1878036,0.001993062,0.7076041,0.001895437,0.000318106,0.0001979687,0.00193785,0.001213033,0.09703688],"genre_scores_gemma":[0.9308721,0.001495056,0.03095064,0.0001292839,0.00005934987,0.000210724,0.0008616662,0.0001434937,0.03527766],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0222283,"threshold_uncertainty_score":0.04419786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04094521822295977,"score_gpt":0.2017432819357394,"score_spread":0.1607980637127796,"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."}}