{"id":"W235311838","doi":"10.1007/978-94-017-9328-5_11","title":"The Disaster Epidemic: Research, Diagnosis, and Prescriptions","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Vulnerability (computing); Root cause; Context (archaeology); Root (linguistics); Risk analysis (engineering); Disaster risk reduction; Environmental planning; Political science; Geography; Business; Computer security; Computer science; Engineering; Operations management","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":[0.002704351,0.0008669383,0.0007135981,0.002260827,0.001403888,0.005405041,0.001189107,0.002878748,0.009102374],"category_scores_gemma":[0.005902943,0.0003604235,0.0003615618,0.002473885,0.009085175,0.007149545,0.002509563,0.005001658,0.00189294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003267633,"about_ca_system_score_gemma":0.008109847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003968874,"about_ca_topic_score_gemma":0.008763491,"domain_scores_codex":[0.9991422,0.0004126599,0.0000517533,0.00008226747,0.0002502327,0.00006083461],"domain_scores_gemma":[0.9969597,0.002430749,0.0001051792,0.0000925529,0.0002542133,0.0001576163],"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":[0.00001249682,0.00004912229,0.000380281,0.0006098649,0.000008179611,0.0001302335,0.003430684,0.0003858091,0.00009874311,0.6075468,0.2741993,0.1131485],"study_design_scores_gemma":[0.000008462604,0.00001844908,0.0005254595,0.001690256,0.000006635915,0.0002773536,0.003964426,0.0003149415,0.00009156494,0.4297957,0.5632853,0.00002162787],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.002458136,0.4108724,0.0122674,0.2913842,0.01242616,0.0001698151,0.0005680004,0.000193197,0.2696606],"genre_scores_gemma":[0.07433835,0.660486,0.02199336,0.05198617,0.01198639,0.0005988625,0.0007133105,0.0001993196,0.1776982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009102374,"threshold_uncertainty_score":0.03045046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1123302091118939,"score_gpt":0.379393503269875,"score_spread":0.2670632941579811,"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."}}