{"id":"W2967637452","doi":"10.1016/j.jenvman.2019.109386","title":"Normalized dynamic behavior of combined sewer overflow discharges for source water characterization and management","year":2019,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Sciences and Engineering Research Council; Polytechnique Montréal","funders":"Canadian Water Network","keywords":"Decile; Combined sewer; Environmental science; Stormwater; Hydrology (agriculture); Water quality; Sampling (signal processing); Environmental engineering; Flow conditions; Surface water; Current (fluid); Flow (mathematics); Surface runoff; Statistics; Mathematics; Ecology; Geotechnical engineering; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001782652,0.0002245623,0.0002118821,0.0006261285,0.0002207053,0.0004485503,0.0001622483,0.0001846173,0.001236929],"category_scores_gemma":[0.001036564,0.00009346713,0.0001604017,0.0007356188,0.0001405979,0.0004339304,0.0002149789,0.000169842,0.0002117951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000577084,"about_ca_system_score_gemma":0.000363607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003847897,"about_ca_topic_score_gemma":0.006783459,"domain_scores_codex":[0.9998323,0.00002203626,0.000008425241,0.00003791592,0.00008056887,0.0000186894],"domain_scores_gemma":[0.9995832,0.0001398159,0.00005467941,0.00003732897,0.0001596647,0.00002533691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002051352,0.0004766773,0.193649,0.0001991917,0.0001699819,0.0003816354,0.0004381564,0.2975173,0.3360409,0.002689977,0.002245349,0.1641405],"study_design_scores_gemma":[0.0000141533,0.0002640608,0.1176019,0.00001149662,0.00003405831,0.0001447998,0.0001935277,0.8141534,0.06563441,0.0006119143,0.001303948,0.0000324064],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834431,0.00006267989,0.0136106,0.00002799542,0.00001102099,0.00001353693,0.0005091256,0.0002868574,0.002035046],"genre_scores_gemma":[0.9973672,0.00002038656,0.001930026,0.000003644979,0.000001704345,0.000007041013,0.0002471112,0.00001903002,0.0004040309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003847897,"threshold_uncertainty_score":0.007650971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003593030346325102,"score_gpt":0.1847081891237065,"score_spread":0.1811151587773814,"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."}}