{"id":"W4409510618","doi":"10.1061/jswbay.sweng-632","title":"Markov Chain Modeling of Combined Sewer Tank Overflow","year":2025,"lang":"en","type":"article","venue":"Journal of Sustainable Water in the Built Environment","topic":"Water Systems and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Markov chain; Computer science; Combined sewer; Environmental science; Machine learning; Stormwater; Surface runoff","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001059031,0.0005270264,0.0006928599,0.0006829958,0.0004629797,0.0009966495,0.0008896099,0.0008618294,0.002783325],"category_scores_gemma":[0.00326488,0.0004514765,0.0008427676,0.000593386,0.0007518898,0.0007716479,0.000790766,0.0008191457,0.000169187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001514349,"about_ca_system_score_gemma":0.001757859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07591821,"about_ca_topic_score_gemma":0.0433447,"domain_scores_codex":[0.999599,0.0001072671,0.00001912803,0.00009321942,0.00006031017,0.0001210072],"domain_scores_gemma":[0.9980856,0.001255417,0.0002780371,0.00006140663,0.0002087966,0.0001107005],"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":[0.00001738741,0.000008025052,0.002074089,0.000005697021,0.00001175049,0.00003644719,0.00001611774,0.9937068,0.0001399564,0.003241412,0.00009761552,0.0006448138],"study_design_scores_gemma":[0.000002603073,0.000003386675,0.000293196,0.000001479584,0.000003549695,0.000002202589,0.000005996041,0.9987821,0.00003834022,0.0008143634,0.00005019902,0.000002623646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6766543,0.00035276,0.3118458,0.0007201853,0.00007656682,0.0001105133,0.001686064,0.000331682,0.008222261],"genre_scores_gemma":[0.9924045,0.0001110214,0.004759881,0.00002855814,0.000009962709,0.00006342659,0.0003964037,0.00001504937,0.002211217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07591821,"threshold_uncertainty_score":0.1509526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004926943324998457,"score_gpt":0.1797775363759133,"score_spread":0.1748505930509149,"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."}}