{"id":"W2118657728","doi":"10.1061/(asce)he.1943-5584.0000134","title":"Estimation of Evapotranspiration from Bioretention Areas Using Weighing Lysimeters","year":2010,"lang":"en","type":"article","venue":"Journal of Hydrologic Engineering","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"University of Guelph","keywords":"Lysimeter; Groundwater recharge; Evapotranspiration; Bioretention; Environmental science; Hydrology (agriculture); Water balance; Drainage; Groundwater; Stormwater; Aquifer; Soil science; Geology; Surface runoff; Soil water","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002882336,0.00007472694,0.0001270197,0.00007524138,0.00002554125,0.0000111861,0.00008756786,0.00006996671,0.0001597394],"category_scores_gemma":[0.00008441554,0.00006408448,0.00006678618,0.0001134248,0.00002590415,0.0003940741,0.0000128824,0.0001786986,0.000003176919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005371333,"about_ca_system_score_gemma":0.000005809066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006057027,"about_ca_topic_score_gemma":0.000005497226,"domain_scores_codex":[0.9992812,0.00001472112,0.0003313761,0.00007620208,0.0002035276,0.00009302092],"domain_scores_gemma":[0.9995924,0.00004531173,0.0002314689,0.0000777863,0.00001209269,0.00004095456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004830165,0.000008358652,0.00783556,0.000002547773,0.000007320672,0.000001930597,0.00006552054,0.4548486,0.5360158,0.000006437715,0.000002559241,0.001200532],"study_design_scores_gemma":[0.0002177138,0.00007621517,0.01774912,0.00002882609,0.00005205937,0.00001954651,0.000004338347,0.8776625,0.103753,0.0003400282,0.00002610876,0.0000704585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9202985,0.00002051346,0.07920306,0.00002544737,0.0003459125,0.00004550852,0.000001524771,0.0000106167,0.00004892932],"genre_scores_gemma":[0.9716127,0.000003566205,0.02829801,0.000008864882,0.00006518493,4.85862e-7,0.000003235458,0.00000632516,0.00000160902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4322628,"threshold_uncertainty_score":0.2613289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006907468764864273,"score_gpt":0.1985184597130883,"score_spread":0.191610990948224,"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."}}