{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002424384,0.0002860484,0.0002158671,0.0005180832,0.0002456576,0.0006135663,0.0003421709,0.000186709,0.0008846464],"category_scores_gemma":[0.003950436,0.00007235432,0.0002484134,0.0005833193,0.000186995,0.0004032771,0.0003473634,0.0001889403,0.0001015712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002043821,"about_ca_system_score_gemma":0.001664637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005446771,"about_ca_topic_score_gemma":0.01218419,"domain_scores_codex":[0.9984188,0.0008647959,0.00008619885,0.0001108998,0.0003988563,0.0001204613],"domain_scores_gemma":[0.9985902,0.0004491881,0.0002846677,0.00009485184,0.0004207237,0.000160405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.008326891,0.01102897,0.2355407,0.001093027,0.0004091744,0.000202446,0.001071465,0.1449467,0.03358134,0.005908875,0.002372564,0.555518],"study_design_scores_gemma":[0.001725711,0.1038458,0.6165997,0.0002183433,0.0006554579,0.0001290744,0.002128086,0.2256312,0.03114171,0.002930214,0.01493439,0.00006037613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892512,0.00009212931,0.003920564,0.00008717754,0.00000904852,0.0005150986,0.0002806674,0.0000417806,0.005802327],"genre_scores_gemma":[0.9926439,0.00008844135,0.00620114,0.00002623145,0.000002691036,0.0001456121,0.0002389085,0.000003427024,0.000649692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005446771,"threshold_uncertainty_score":0.01482898,"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."}}