{"id":"W2093810350","doi":"10.3390/w7020615","title":"Quantifying the Fecal Coliform Loads in Urban Watersheds by Hydrologic/Hydraulic Modeling: Case Study of the Beauport River Watershed in Quebec","year":2015,"lang":"en","type":"article","venue":"Water","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Stormwater; Environmental science; Hydrology (agriculture); Watershed; Surface runoff; Fecal coliform; Combined sewer; Storm Water Management Model; Water quality; Outfall; Urban runoff; Environmental engineering; Ecology; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009139472,0.0002259803,0.0002346345,0.0000779039,0.0001414165,0.00005488525,0.0005959207,0.00009014575,0.000100369],"category_scores_gemma":[0.000007956623,0.0001064759,0.00006272275,0.0002652149,0.0002750097,0.00045766,0.0008448711,0.0002710085,0.0001487998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003769151,"about_ca_system_score_gemma":0.00001067282,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3134435,"about_ca_topic_score_gemma":0.1435697,"domain_scores_codex":[0.9978397,0.0002319038,0.0004879273,0.000405734,0.0004664921,0.0005682586],"domain_scores_gemma":[0.9992228,0.00001331952,0.00006223437,0.0006121186,0.000009548843,0.0000800404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005749943,0.0006226543,0.8332496,0.000005887385,0.00002264793,0.000281211,0.08976129,0.07092454,0.001076506,0.000006353316,0.003942852,0.00004891108],"study_design_scores_gemma":[0.0171742,0.001665856,0.1569571,0.00008173336,0.0003971705,0.0004348879,0.112491,0.6537331,0.01119467,0.00147255,0.04157851,0.002819129],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969931,0.000009028902,0.00007614261,0.001035048,0.0001381701,0.0009248123,0.000002393283,0.00002711638,0.000794233],"genre_scores_gemma":[0.9984336,6.587741e-7,0.00001716426,0.0002725406,0.00001613627,0.00008873119,0.000009177616,0.00001946729,0.001142562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6762925,"threshold_uncertainty_score":0.8720579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05160341830168835,"score_gpt":0.249226204161902,"score_spread":0.1976227858602136,"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."}}