{"id":"W4293799486","doi":"10.2139/ssrn.4204468","title":"Relating Social, Ecological, and Technological Vulnerability to Future Flood Exposure at Two Scales in Four U.S. Cities","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Vulnerability (computing); Flood myth; Social vulnerability; Geography; Environmental resource management; Environmental planning; Ecology; Environmental science; Psychological resilience; Psychology; Biology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004257834,0.0001189507,0.0001835807,0.0001319016,0.002831321,0.0001235507,0.0004341467,0.00008563274,0.000161581],"category_scores_gemma":[0.0001562395,0.0001006885,0.00006603061,0.0004903615,0.0003230717,0.0001986853,0.0004349755,0.00166185,0.0000051505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001332507,"about_ca_system_score_gemma":0.0003802929,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001032379,"about_ca_topic_score_gemma":0.02527945,"domain_scores_codex":[0.9968693,0.0006315964,0.0002495998,0.0002808808,0.0004606988,0.001507981],"domain_scores_gemma":[0.9996303,0.00008887723,0.0001013318,0.00008167153,0.00002617652,0.00007164828],"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":[0.0000840962,0.0001905001,0.1646435,0.000007493041,0.00003926799,0.00003086646,0.008664879,0.0002709216,0.0002525263,0.7562395,0.0004234903,0.069153],"study_design_scores_gemma":[0.0009388396,0.0007205221,0.1092686,0.000008650519,0.00002079458,0.00006634908,0.3331991,0.00002760043,0.000004756411,0.5290785,0.02627856,0.0003877022],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811889,0.000930147,0.00006726212,0.01126877,0.0001504739,0.0002255598,0.00000141281,0.00005736566,0.006110142],"genre_scores_gemma":[0.9973108,0.0007067855,0.0000607914,0.0001828118,0.0002650428,0.00003502137,6.28763e-7,0.00000674558,0.001431373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3245342,"threshold_uncertainty_score":0.9984668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01387692539840789,"score_gpt":0.2779711914332381,"score_spread":0.2640942660348302,"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."}}