{"id":"W4416436825","doi":"10.2139/ssrn.5778920","title":"From Conventional to Sustainable: Decadal Evolution of Wastewater Treatment and Its Environmental-Energy-Cost Trade-offs in a Fast-Growing City","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Wastewater Treatment and Reuse","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Greenhouse gas; Sewage treatment; Wastewater; Urbanization; Biogas; Electricity; Climate change; Interdependence; Water treatment","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":[0.0004898363,0.0002060718,0.0002002132,0.0004176799,0.0003253543,0.002460343,0.0003435836,0.0009776172,0.002602048],"category_scores_gemma":[0.001961599,0.0001650862,0.0002361856,0.001474407,0.0006141997,0.001546695,0.0008678094,0.0008514422,0.0003096962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001311628,"about_ca_system_score_gemma":0.000493217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007361768,"about_ca_topic_score_gemma":0.01121381,"domain_scores_codex":[0.9998634,0.00002282666,0.000008119916,0.00003919178,0.0000347013,0.00003173717],"domain_scores_gemma":[0.9993985,0.0001277684,0.0001710484,0.00004923719,0.0001820553,0.00007140559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003102753,0.00042575,0.4579187,0.0005931061,0.0006862786,0.001634864,0.00254901,0.1258681,0.0369937,0.1544488,0.02966074,0.1861182],"study_design_scores_gemma":[0.00003150166,0.0001968142,0.8556257,0.00006638063,0.00009510945,0.0003937747,0.00411134,0.05538263,0.004600234,0.04201205,0.03736755,0.0001169672],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876572,0.001203215,0.001738683,0.002733097,0.00007143822,0.000003602467,0.001262273,0.00004856929,0.005281934],"genre_scores_gemma":[0.9982176,0.000378332,0.0003230596,0.00006964549,0.00002085166,0.000002061443,0.0002600795,0.00001949163,0.0007088314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007361768,"threshold_uncertainty_score":0.01463783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006879049091142887,"score_gpt":0.2170063942990157,"score_spread":0.2101273452078729,"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."}}