{"id":"W4387454434","doi":"10.3389/frwa.2023.1287538","title":"Editorial: Resiliency of urban systems to water-related disasters","year":2023,"lang":"en","type":"editorial","venue":"Frontiers in Water","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Resilience (materials science); Environmental planning; Environmental science; Materials science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004821853,0.004645304,0.003425853,0.003894886,0.003810122,0.008552914,0.00359143,0.01455266,0.02092938],"category_scores_gemma":[0.02500499,0.0008822565,0.002630663,0.001857682,0.00258677,0.006765774,0.002026016,0.01505365,0.01600286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002988157,"about_ca_system_score_gemma":0.003837201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001688702,"about_ca_topic_score_gemma":0.003748605,"domain_scores_codex":[0.9957139,0.000641934,0.0004379027,0.0005953134,0.00227572,0.0003353126],"domain_scores_gemma":[0.9825817,0.007466028,0.0008076181,0.0003730318,0.006681497,0.002090049],"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":[0.0000183108,0.00001263631,0.00002472636,0.0002049883,0.000009030689,0.00007581175,0.00002113909,0.00002986895,0.0000370134,0.0002762997,0.9956671,0.003623116],"study_design_scores_gemma":[0.00004587751,0.00003044344,0.0003507172,0.0007986547,0.00003824757,0.000341472,0.00009740701,0.0001987002,0.0001077058,0.002240917,0.9957243,0.00002541333],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003677782,0.003373251,0.00009660914,0.02085106,0.9741722,0.00001554593,0.00005351285,0.00003908287,0.001361842],"genre_scores_gemma":[0.0004581769,0.003686266,0.00007419737,0.01122246,0.9779496,0.0000187125,0.00003707433,0.00003701915,0.006516641],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02092938,"threshold_uncertainty_score":0.07001573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003097775404205078,"score_gpt":0.2122808329868218,"score_spread":0.2091830575826167,"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."}}