{"id":"W1975460581","doi":"10.1007/s00477-013-0725-y","title":"Assessment of social vulnerability to natural hazards in the Yangtze River Delta, China","year":2013,"lang":"en","type":"article","venue":"Stochastic Environmental Research and Risk Assessment","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":91,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Social vulnerability; Vulnerability (computing); China; Geography; Natural disaster; Natural hazard; Vulnerability index; Per capita; Delta; Vulnerability assessment; Socioeconomics; Water resource management; Climate change; Environmental science; Population; Psychological resilience; Environmental health; Meteorology; Ecology","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":[0.000990406,0.0007796584,0.0004459076,0.002836855,0.0008523571,0.001041965,0.0006999926,0.0005202859,0.0005030885],"category_scores_gemma":[0.001469614,0.0003088638,0.0005934714,0.001445056,0.0007762515,0.0006712922,0.001525733,0.0001974652,0.00003848329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003404622,"about_ca_system_score_gemma":0.003601778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1009735,"about_ca_topic_score_gemma":0.08910281,"domain_scores_codex":[0.9995578,0.0001177123,0.00002666431,0.00005952044,0.0001157494,0.0001226123],"domain_scores_gemma":[0.9993735,0.0001526763,0.000115075,0.000037608,0.0001495426,0.0001716655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001470415,0.0001453014,0.7865654,0.00005143193,0.0003535706,0.0007682986,0.0006230729,0.1949253,0.001482827,0.002034395,0.000417806,0.01248553],"study_design_scores_gemma":[0.000036039,0.0001573696,0.6221961,0.00001517635,0.0001588313,0.0001123549,0.00266209,0.3710189,0.000507556,0.002699767,0.0003928761,0.00004288064],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992611,0.00001847544,0.0003305752,0.00003395032,7.39991e-7,0.000008831361,0.00006383114,0.000004332621,0.0002781111],"genre_scores_gemma":[0.9997126,0.00001466056,0.00008541083,0.000002404031,8.960603e-7,0.000007713808,0.00007356136,6.718444e-7,0.0001018565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1009735,"threshold_uncertainty_score":0.2007715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01792903089747634,"score_gpt":0.3815970971895978,"score_spread":0.3636680662921215,"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."}}