{"id":"W2218966615","doi":"10.14796/jwmm.r235-06","title":"An Evaluation of Stormwater Management Practices to Provide Flood Protection for Watershed-Based Targets","year":2009,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Credit Valley Hospital; Philips (Canada)","funders":"","keywords":"Watershed; Flood myth; Watershed management; Stormwater management; Stormwater; Water resource management; Environmental science; Hydrology (agriculture); Environmental planning; Environmental resource management; Geography; Surface runoff; Computer science; Engineering; Ecology; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002051281,0.0001279108,0.0001743932,0.00009057752,0.0001040312,0.00006342222,0.0002238693,0.00004068312,0.00004592645],"category_scores_gemma":[0.000006655584,0.0000468089,0.0001171008,0.00009546652,0.000005207188,0.0004314479,0.00001259195,0.0000629694,0.000002746379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000556161,"about_ca_system_score_gemma":0.000004008728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001565924,"about_ca_topic_score_gemma":0.00001202065,"domain_scores_codex":[0.9982837,0.00007903337,0.0005076592,0.000202052,0.0007067817,0.0002207748],"domain_scores_gemma":[0.9992122,0.000006292584,0.0002757448,0.0000690455,0.0003522843,0.0000844081],"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":[0.001256723,0.0008635218,0.0001815354,0.0001368447,0.000130885,0.000008210809,0.0006006571,0.3962117,0.3742629,0.00004995305,0.0001292001,0.2261679],"study_design_scores_gemma":[0.003671867,0.005314099,0.005357792,0.0003268428,0.001092133,0.000004806013,0.001871248,0.751968,0.2190542,0.003311161,0.00749666,0.0005311691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748945,0.00001891082,0.02041886,0.003076353,0.0001517743,0.001268244,0.000001966059,0.00001945417,0.0001498976],"genre_scores_gemma":[0.9935229,0.000008294174,0.005856493,0.0003590592,0.0001275313,0.00004206334,0.00002951605,0.000001706578,0.00005236763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3557563,"threshold_uncertainty_score":0.1908811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08283797410878874,"score_gpt":0.2952033365789959,"score_spread":0.2123653624702072,"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."}}