{"id":"W4390672560","doi":"10.1016/j.jclepro.2024.140582","title":"StRaWHAT: A stochastic rainwater harvesting assessment tool for direct quantification of rainwater harvesting system performance","year":2024,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Fundamental Research Fund of Shandong University; Natural Science Foundation of Shandong Province; National Natural Science Foundation of China; Shandong University","keywords":"Rainwater harvesting; Environmental science; Environmental engineering; Computer science; Hydrology (agriculture); Engineering; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002196948,0.0001553546,0.0002299289,0.0001833405,0.0001833539,0.0001362278,0.0001790778,0.0000442876,0.00004632616],"category_scores_gemma":[0.0001271426,0.0001230806,0.0001196467,0.0002321286,0.00009828385,0.001461186,0.00005904564,0.0001835327,0.00002478354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004582314,"about_ca_system_score_gemma":0.00003055788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003528793,"about_ca_topic_score_gemma":0.000007806769,"domain_scores_codex":[0.99812,0.00008789852,0.0007638004,0.0003127449,0.0004676947,0.0002479392],"domain_scores_gemma":[0.999133,0.00006649697,0.0004429484,0.0002256838,0.00008284172,0.00004905367],"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":[0.0001684125,0.0002383154,0.01027906,0.00200267,0.0002740221,0.00001128322,0.002458517,0.6838375,0.2281879,0.0003574393,0.009265468,0.06291936],"study_design_scores_gemma":[0.002399147,0.002267467,0.2018138,0.005850678,0.001848455,0.001150078,0.002932732,0.569719,0.1217824,0.0004158479,0.08802757,0.001792839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8806467,0.00006471004,0.1149631,0.0006741546,0.001923017,0.0006653586,0.000006304534,0.00008167137,0.0009749935],"genre_scores_gemma":[0.9874897,0.000004779149,0.006982727,0.000008306745,0.0004572552,0.00002760097,0.00000737331,0.00002797346,0.004994262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1915347,"threshold_uncertainty_score":0.501908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0231466904851929,"score_gpt":0.2598974336250376,"score_spread":0.2367507431398447,"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."}}