{"id":"W2802650113","doi":"10.2495/sdp-v13-n5-734-745","title":"Resilient cities: Mitigation measures for urban districts. a feasibility study","year":2018,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Regional resilience and development","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental planning; Urban planning; Business; Geography; Environmental science; Transport engineering; Civil engineering; Engineering","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":[0.002694395,0.0008768084,0.0004600964,0.001097805,0.0008257307,0.001152925,0.001246019,0.001353779,0.01695616],"category_scores_gemma":[0.005794706,0.0003936771,0.0009373236,0.00110609,0.0007701934,0.002596121,0.001827236,0.0007504913,0.000751552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002051224,"about_ca_system_score_gemma":0.003647648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01308107,"about_ca_topic_score_gemma":0.01316724,"domain_scores_codex":[0.9977013,0.001703511,0.00003632673,0.0001232868,0.0001440956,0.0002914938],"domain_scores_gemma":[0.9976013,0.001159223,0.0002311829,0.0002308121,0.0004372708,0.0003401761],"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":[0.00524901,0.007760701,0.02781421,0.002261967,0.0003213993,0.00125818,0.001415761,0.5913599,0.006061129,0.1260221,0.02017663,0.2102991],"study_design_scores_gemma":[0.00495517,0.02473906,0.08192719,0.0007713258,0.001324215,0.0005422242,0.02527871,0.6655992,0.006996115,0.1130621,0.07440573,0.0003989385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8251085,0.001327636,0.07095306,0.006378561,0.0002293448,0.01174537,0.006595782,0.0004382282,0.07722354],"genre_scores_gemma":[0.9744333,0.0003404565,0.01789697,0.000141866,0.00003105468,0.002679418,0.0005456341,0.00001714474,0.003914176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01695616,"threshold_uncertainty_score":0.05672395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04373998878691734,"score_gpt":0.2858511808497025,"score_spread":0.2421111920627851,"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."}}