{"id":"W2069445136","doi":"10.1007/s11069-011-9823-7","title":"A comparative analysis of several vulnerability concepts","year":2011,"lang":"en","type":"article","venue":"Natural Hazards","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":236,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Victoria University of Wellington; Deutscher Akademischer Austauschdienst; University of Victoria","keywords":"Vulnerability (computing); Vulnerability assessment; Natural hazard; Interdependence; Adaptation (eye); Context (archaeology); Resilience (materials science); Scale (ratio); Adaptive capacity; Risk analysis (engineering); Computer science; Environmental resource management; Psychological resilience; Geography; Climate change; Sociology; Environmental science; Computer security; Psychology; Ecology; Business; Social psychology; Cartography; Social science; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.002922494,0.0003717221,0.0002966775,0.0070761,0.0009313439,0.002184946,0.0005403777,0.0003955557,0.009588744],"category_scores_gemma":[0.01203797,0.00009292042,0.0006126778,0.00513781,0.002131021,0.003970517,0.00120982,0.0006619112,0.0002554137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001598661,"about_ca_system_score_gemma":0.000749023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001622591,"about_ca_topic_score_gemma":0.001392891,"domain_scores_codex":[0.9988997,0.0006719697,0.00004250399,0.0000737774,0.000213791,0.00009823303],"domain_scores_gemma":[0.9848188,0.01303742,0.0006006994,0.0002698803,0.0009771981,0.000295905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000408379,0.000112645,0.0244222,0.0004208139,0.0001503764,0.0002978551,0.007829802,0.00521221,0.001743294,0.8609327,0.00146068,0.09700906],"study_design_scores_gemma":[0.00008603235,0.0006772424,0.1382018,0.0004565722,0.0004595883,0.001062934,0.04287556,0.02561692,0.001560401,0.7733575,0.01555685,0.0000886645],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8285594,0.004593701,0.05034176,0.001250626,0.00005222424,0.0001129642,0.0004386156,0.00005680637,0.1145938],"genre_scores_gemma":[0.9918394,0.0009142311,0.006341917,0.00002182929,0.0000198559,0.00003665461,0.0001444941,0.00001051289,0.0006710176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009588744,"threshold_uncertainty_score":0.03207755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04886823894262719,"score_gpt":0.378912023003955,"score_spread":0.3300437840613278,"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."}}