{"id":"W2029614647","doi":"10.1111/j.1467-7717.2009.01130.x","title":"Urban disaster recovery: a measurement framework and its application to the 1995 Kobe earthquake","year":2009,"lang":"en","type":"article","venue":"Disasters","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":380,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Science Foundation","keywords":"Settlement (finance); Population; Geography; Natural disaster; Poison control; Environmental planning; Business; Forensic engineering; Engineering; Environmental health; Medicine; Finance","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":[0.006381257,0.0005874526,0.0005218785,0.004091945,0.001406509,0.001340253,0.000723897,0.0006925562,0.001135103],"category_scores_gemma":[0.01157914,0.0003221935,0.0007731373,0.005079953,0.002242617,0.001791852,0.003051511,0.001358799,0.0001380829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002358753,"about_ca_system_score_gemma":0.002478653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01411162,"about_ca_topic_score_gemma":0.009730134,"domain_scores_codex":[0.9973678,0.001630224,0.0003236507,0.0002202365,0.0003290179,0.0001291817],"domain_scores_gemma":[0.9947622,0.002481304,0.001645483,0.0002499072,0.0006918688,0.0001692102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002878059,0.0007530456,0.5581054,0.0006884432,0.0003217904,0.0006666984,0.01802431,0.04631886,0.0019965,0.1433479,0.007096021,0.2223932],"study_design_scores_gemma":[0.000104401,0.001823518,0.6871439,0.0005331088,0.0002082975,0.001080388,0.03853136,0.1544409,0.001609151,0.08778681,0.02643311,0.0003049876],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7424593,0.001318973,0.2340913,0.004564206,0.000108715,0.002125381,0.002926853,0.0003772486,0.01202806],"genre_scores_gemma":[0.9164832,0.0004368861,0.07975628,0.0001315702,0.00004089586,0.001912959,0.0009029534,0.00002279241,0.0003125766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01411162,"threshold_uncertainty_score":0.03374773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01853897382803307,"score_gpt":0.2728061468232061,"score_spread":0.2542671729951731,"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."}}