{"id":"W3173870301","doi":"10.1680/jenes.20.00062","title":"Alternative storm-water management scenarios for developing countries in urban contexts","year":2021,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flooding (psychology); Surface runoff; Environmental science; Stormwater; Environmental planning; Storm; Water resource management; Water resources; Sustainability; Watershed; Water conservation; HEC-HMS; Low-impact development; Urban runoff; Environmental resource management; Business; Stormwater management; Geography; Computer science; Meteorology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007154751,0.0005392992,0.0003734512,0.0007839914,0.0006982154,0.001067434,0.0005837356,0.000766464,0.002637759],"category_scores_gemma":[0.0008985645,0.0001988383,0.0005509541,0.001452214,0.0005831948,0.0007004394,0.0008062553,0.0004157095,0.0001458274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002270261,"about_ca_system_score_gemma":0.001069298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01367079,"about_ca_topic_score_gemma":0.03304385,"domain_scores_codex":[0.9994487,0.0003821874,0.00001536738,0.000031188,0.00003957171,0.00008291837],"domain_scores_gemma":[0.9995613,0.0002270589,0.00004772931,0.00002958568,0.00006559872,0.00006861351],"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":[0.0005092079,0.0002765304,0.01691498,0.0001256273,0.00004797872,0.001159535,0.0002857784,0.960466,0.001574694,0.01094466,0.001207342,0.006487715],"study_design_scores_gemma":[0.0004505731,0.001443036,0.03494024,0.00007777268,0.0001259089,0.0002472186,0.006667608,0.9329628,0.003337601,0.01285748,0.006799579,0.00009015184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806494,0.00006622811,0.004096487,0.0002188968,0.000009098956,0.000232807,0.0009911935,0.00004650557,0.01368945],"genre_scores_gemma":[0.9955248,0.00009985748,0.003241399,0.00001099935,0.00000152904,0.0001499713,0.0002829192,0.000003737978,0.0006848561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01367079,"threshold_uncertainty_score":0.02718246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007304145543957007,"score_gpt":0.196288555771243,"score_spread":0.188984410227286,"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."}}