{"id":"W1985966822","doi":"10.14796/jwmm.c384","title":"Dry Weather Channel Impacts on Wet Weather Combined Sewer Overflow Pollution Rates","year":2014,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Combined sewer; Settling; Environmental science; Channel (broadcasting); Pollution; Environmental engineering; Hydrology (agriculture); Sanitary sewer; Water resource management; Meteorology; Stormwater; Surface runoff; Engineering; Geotechnical engineering; Geography; Telecommunications; Ecology","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":[0.001082953,0.0002926211,0.0002894341,0.0002769498,0.0002198607,0.0001169268,0.0004518238,0.00006897197,0.0007438023],"category_scores_gemma":[0.00001097101,0.0002026118,0.0001906353,0.0001535953,0.0000548974,0.0006762349,0.0003409174,0.0002279059,0.0007739392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003603349,"about_ca_system_score_gemma":0.000002732935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006283016,"about_ca_topic_score_gemma":0.00001194711,"domain_scores_codex":[0.9976966,0.0001163758,0.0005831686,0.0003111603,0.0007227732,0.0005699508],"domain_scores_gemma":[0.999191,0.00001238544,0.0002121927,0.0003954611,0.00002765375,0.0001613307],"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":[0.0002559249,0.0004435802,0.003845506,0.00004452141,0.0003041715,0.00003402074,0.001215603,0.9769764,0.002942874,0.0007554116,0.01203083,0.001151165],"study_design_scores_gemma":[0.004564294,0.001028478,0.007907598,0.0003219598,0.0004535528,0.000009275027,0.0004843939,0.937575,0.00315248,0.01688946,0.02665421,0.0009592429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7702948,0.00003231796,0.1843455,0.003294564,0.0009964762,0.0005088871,0.000002991091,0.0000856042,0.0404389],"genre_scores_gemma":[0.9910921,0.00003857357,0.001665613,0.001030019,0.000226293,0.000008199026,0.000005142424,0.00004700797,0.005887017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2207973,"threshold_uncertainty_score":0.9947681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01486581127892307,"score_gpt":0.2185505426136804,"score_spread":0.2036847313347573,"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."}}