{"id":"W2889968045","doi":"10.2495/sdp-v13-n7-975-984","title":"Temporal evolution of urban growth and its impact on runoff rates generation","year":2018,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidad de Alicante","keywords":"Surface runoff; Low-impact development; Environmental science; Hydrology (agriculture); Stormwater management; Stormwater; Geology; Ecology; Geotechnical engineering; Biology","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":[0.0004844851,0.0001813814,0.0001499156,0.00079295,0.0001760715,0.001037009,0.0002450882,0.0005044888,0.004572041],"category_scores_gemma":[0.002031156,0.0001178138,0.0002751993,0.001038266,0.0001877587,0.000394281,0.0004234213,0.0003369287,0.0006637375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008534112,"about_ca_system_score_gemma":0.0004583461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04554472,"about_ca_topic_score_gemma":0.0369066,"domain_scores_codex":[0.9997762,0.00003643541,0.00001154961,0.00006480476,0.0000280364,0.00008302492],"domain_scores_gemma":[0.9987944,0.0004913369,0.0002241446,0.00007816363,0.000293807,0.0001180268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005427252,0.0001341128,0.9458506,0.00005601285,0.000137841,0.0003435137,0.0003936239,0.0273915,0.001761787,0.001120147,0.00385449,0.01841366],"study_design_scores_gemma":[0.00000707151,0.00004238854,0.9836458,0.00001127041,0.00002793869,0.00005401897,0.0004980444,0.01327497,0.0002718607,0.0001646098,0.00198623,0.00001579678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939873,0.0002222349,0.0003414549,0.0001622699,0.0000109779,0.000005484135,0.002836867,0.00006220901,0.00237117],"genre_scores_gemma":[0.9975672,0.00007352533,0.0000778678,0.000008866839,0.000005043142,0.000004228021,0.001345996,0.0000130328,0.0009043344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04554472,"threshold_uncertainty_score":0.09055924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01181351017891241,"score_gpt":0.2584397963130363,"score_spread":0.2466262861341239,"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."}}