{"id":"W2125502819","doi":"10.1061/(asce)1084-0699(2007)12:2(197)","title":"Sizing of Rainwater Storage Units for Green Building Applications","year":2007,"lang":"en","type":"article","venue":"Journal of Hydrologic Engineering","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":173,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rainwater harvesting; Water storage; Roof; Sizing; Environmental science; Surface runoff; Storm Water Management Model; Storm; Green roof; Stormwater; Storage tank; Computer science; Hydrology (agriculture); Civil engineering; Meteorology; Engineering; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008001096,0.00008429207,0.0001421536,0.0001248094,0.00005078647,0.000005939419,0.0002252867,0.00004008865,0.00004003441],"category_scores_gemma":[0.00004703293,0.00007218561,0.00006341672,0.0002493817,0.00003320122,0.0001715152,0.00007880513,0.0001108392,0.000004028233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001183695,"about_ca_system_score_gemma":0.000003505903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000118685,"about_ca_topic_score_gemma":0.00000273233,"domain_scores_codex":[0.999173,0.000006884467,0.0003544365,0.00008526526,0.000161541,0.0002188487],"domain_scores_gemma":[0.9995176,0.00009396308,0.0001954564,0.0001085503,0.00002270629,0.00006174814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002890065,0.00006862159,0.01124197,0.00006079306,0.0000849123,0.00001788822,0.0003931544,0.6429509,0.3414197,0.0009003174,0.0003954161,0.002437376],"study_design_scores_gemma":[0.003882815,0.001579876,0.09387898,0.0002048058,0.0005569144,0.0003483799,0.0003912349,0.1904689,0.08559674,0.004525774,0.6171603,0.001405314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4654277,0.00008414835,0.5337538,0.00008461388,0.00007674678,0.000146697,0.00000167178,0.00001709715,0.0004074941],"genre_scores_gemma":[0.9746684,0.00000459918,0.02506005,0.00002901555,0.00008821859,0.000006152936,6.861263e-7,0.00001063266,0.0001321941],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6167648,"threshold_uncertainty_score":0.2943644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01277479815392543,"score_gpt":0.2189385482071998,"score_spread":0.2061637500532743,"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."}}