{"id":"W2602040668","doi":"10.5539/jsd.v10n2p143","title":"Interaction between Fluid Urban Spaces and Reduction of Vulnerability to Risks and Threats in Urban Crises","year":2017,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vulnerability (computing); Flexibility (engineering); Business; Order (exchange); Variety (cybernetics); Built environment; Computer security; Environmental planning; Risk analysis (engineering); Architectural engineering; Computer science; Geography; Engineering; Civil engineering; Economics","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":[0.0007737756,0.0002620406,0.0002142069,0.001050331,0.002629599,0.003522859,0.0004169116,0.0006397088,0.004552248],"category_scores_gemma":[0.003013277,0.0001406044,0.000301361,0.000661892,0.004673313,0.002731008,0.005806951,0.0006386199,0.0002573254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001437842,"about_ca_system_score_gemma":0.00105304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00116539,"about_ca_topic_score_gemma":0.002670346,"domain_scores_codex":[0.9987675,0.0007315599,0.00004163815,0.00008781419,0.0001326491,0.0002388786],"domain_scores_gemma":[0.998909,0.0003420933,0.0002894659,0.00007072005,0.000130585,0.0002580649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0005851178,0.0004239389,0.08974145,0.0007453418,0.0001379225,0.003671093,0.2458394,0.01045457,0.006987453,0.5016372,0.007982678,0.1317939],"study_design_scores_gemma":[0.00003780014,0.0003361474,0.124242,0.0004507167,0.00008601988,0.001500834,0.547049,0.005726497,0.00211831,0.2100148,0.1083233,0.0001145785],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9104966,0.0007713732,0.006735429,0.003237736,0.00005578304,0.00007006844,0.00004882249,0.00005073352,0.07853339],"genre_scores_gemma":[0.9982481,0.0001304031,0.0005469436,0.00003676911,0.000005316102,0.00001765527,0.000008987633,0.000004163418,0.001001686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004552248,"threshold_uncertainty_score":0.01522875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03732983433213744,"score_gpt":0.2865816043315473,"score_spread":0.2492517699994099,"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."}}