{"id":"W2988695860","doi":"10.1061/(asce)nh.1527-6996.0000341","title":"The Relationship between Climate Vulnerability and Disaster Declarations: A Case Study of Flood-Prone Indigenous Communities in Alaska","year":2019,"lang":"en","type":"article","venue":"Natural Hazards Review","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vulnerability (computing); Flood myth; Geography; Socioeconomics; Social vulnerability; Population; Indigenous; Climate change; Environmental resource management; Psychological resilience; Demography; Ecology; Sociology; Environmental science; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003430897,0.0001181689,0.000314217,0.00006320179,0.0007733129,0.00007565846,0.0001754293,0.00007206591,0.00002860551],"category_scores_gemma":[0.0008066269,0.00008583183,0.00004522025,0.000462724,0.0001835663,0.0003772447,0.00006615273,0.0003217713,0.00001712897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001491361,"about_ca_system_score_gemma":0.0001030375,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004525914,"about_ca_topic_score_gemma":0.211678,"domain_scores_codex":[0.9971296,0.00158186,0.0005573534,0.0001537038,0.0003469016,0.0002306278],"domain_scores_gemma":[0.9970098,0.00218994,0.00023591,0.000337766,0.0001837186,0.0000429328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006969517,0.00007436638,0.8748688,0.0005746041,0.00001256717,0.000003250868,0.1053155,0.00000213236,7.444035e-7,0.0004296186,0.00003855366,0.01867296],"study_design_scores_gemma":[0.0007459024,0.0002145312,0.737752,0.001382682,0.0001341672,0.00002355981,0.2545769,0.00007568593,0.000001048162,0.0005970661,0.004224239,0.000272208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9585,0.03811536,0.000001635194,0.0005368512,0.00009618729,0.00241634,0.00001986048,0.00002068275,0.0002930439],"genre_scores_gemma":[0.9861113,0.01345078,0.00004159197,0.00006410863,0.00003385751,0.0001002196,0.00004764882,0.000008164197,0.0001422913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2071521,"threshold_uncertainty_score":0.8027068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1662375316493875,"score_gpt":0.3992627092335611,"score_spread":0.2330251775841736,"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."}}