{"id":"W4412429044","doi":"10.14796/jwmm.c555","title":"Beyond Treatment: Building Pandemic-Resilient Wastewater Systems for Public Health","year":2025,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Healthcare and Environmental Waste Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Wastewater; Public health; Coronavirus disease 2019 (COVID-19); Environmental science; Sewage treatment; 2019-20 coronavirus outbreak; Environmental planning; Waste management; Environmental engineering; Medicine; Virology; Engineering; Nursing; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012706,0.0002329557,0.0005752495,0.0006103976,0.0001867511,0.00009692479,0.0001596977,0.00005936711,0.00001236447],"category_scores_gemma":[0.00000547683,0.000147702,0.0002468891,0.0001090925,0.00001795704,0.0001841327,0.0001241388,0.0001306024,0.000007281402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00109598,"about_ca_system_score_gemma":0.00005294097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004285722,"about_ca_topic_score_gemma":0.000002377795,"domain_scores_codex":[0.9976045,0.00006942643,0.001057325,0.00027693,0.0003676102,0.0006241516],"domain_scores_gemma":[0.9991817,0.00001765574,0.0001879531,0.0002983812,0.00007387535,0.0002403961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002026508,0.003180629,0.008336989,0.01484615,0.008698553,0.0004585413,0.005004742,0.4420577,0.004605507,0.009866018,0.01343176,0.4874869],"study_design_scores_gemma":[0.02052715,0.005043295,0.0003429338,0.003593295,0.001772274,0.0002275377,0.01183314,0.4946022,0.002238199,0.003467366,0.4555094,0.0008432571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7196553,0.004127996,0.2401161,0.02695676,0.001762965,0.002943464,0.000008096989,0.00006665949,0.004362662],"genre_scores_gemma":[0.9852287,0.002059886,0.004615115,0.00141689,0.0002364526,0.00005771555,0.00002218116,0.00003112671,0.006331952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4866436,"threshold_uncertainty_score":0.6023112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06447791484131522,"score_gpt":0.3199709225561172,"score_spread":0.255493007714802,"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."}}