{"id":"W7100751521","doi":"","title":"AN URBAN RAINFALL STORM FLOOD SEVERITY INDEX Prepared by:","year":2013,"lang":"en","type":"article","venue":"","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Storm; Index (typography); Flood myth; Training (meteorology); Hydrology (agriculture); Service (business)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004885806,0.0003490144,0.000337914,0.003528184,0.0002315636,0.0008211233,0.0003711953,0.000217173,0.01578953],"category_scores_gemma":[0.002118954,0.0001763512,0.000255192,0.00383378,0.00007383758,0.0006420405,0.0005031919,0.0004735621,0.008517204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004699626,"about_ca_system_score_gemma":0.0007161904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01117587,"about_ca_topic_score_gemma":0.02064969,"domain_scores_codex":[0.9996847,0.00004187775,0.0000647225,0.0000575054,0.0001270757,0.000024203],"domain_scores_gemma":[0.9989453,0.0001352086,0.0001615111,0.00009662358,0.0005576357,0.0001037119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003965105,0.0002433158,0.2096191,0.0003360306,0.000137996,0.0002581568,0.0003405321,0.007334454,0.003161084,0.001635448,0.5917511,0.1847863],"study_design_scores_gemma":[0.0001493293,0.000133166,0.677335,0.0001093252,0.00007725476,0.0002568691,0.001017797,0.0245671,0.004061176,0.001512902,0.2906572,0.0001228686],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.1781782,0.0001936713,0.01700633,0.0009330644,0.0004816455,0.001231951,0.7516148,0.005096837,0.04526357],"genre_scores_gemma":[0.2297026,0.0003474517,0.03234013,0.0001500973,0.0001337275,0.0009879461,0.7145001,0.0005326589,0.02130528],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01578953,"threshold_uncertainty_score":0.05282128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005358893605428154,"score_gpt":0.1950486054752389,"score_spread":0.1896897118698107,"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."}}