{"id":"W2139824880","doi":"10.1111/j.1467-7717.2011.01256.x","title":"From fatalism to resilience: reducing disaster impacts through systematic investments","year":2011,"lang":"en","type":"article","venue":"Disasters","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Federal Emergency Management Agency; Inter-American Development Bank","keywords":"Fatalism; Resilience (materials science); Disaster risk reduction; Natural hazard; Natural disaster; Poison control; Baseline (sea); Risk analysis (engineering); Business; Environmental economics; Economics; Environmental resource management; Political science; Geography; Environmental health; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003253122,0.000663666,0.0005170965,0.001492347,0.0007065524,0.00201155,0.00114793,0.0007698077,0.002686709],"category_scores_gemma":[0.01012184,0.0003984791,0.0006228508,0.000941172,0.001936497,0.002779231,0.003652192,0.001168003,0.0003320979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001575571,"about_ca_system_score_gemma":0.004437025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002626922,"about_ca_topic_score_gemma":0.004815764,"domain_scores_codex":[0.9982065,0.001036418,0.00006406195,0.0002074077,0.0003533094,0.0001323392],"domain_scores_gemma":[0.9960031,0.001789323,0.0006717972,0.001018047,0.000328751,0.0001890141],"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":[0.0001953773,0.0005102754,0.01775684,0.0007800846,0.0003283037,0.0004404067,0.002717422,0.1400123,0.004547608,0.4128852,0.00842445,0.4114017],"study_design_scores_gemma":[0.0001901351,0.00085877,0.01144299,0.0006528753,0.0002157029,0.0005205701,0.003187651,0.1623066,0.006178983,0.7571061,0.05718243,0.0001572508],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.102828,0.001085324,0.8507724,0.01054807,0.0001879413,0.0006546608,0.0003815891,0.0007513028,0.03279069],"genre_scores_gemma":[0.8136588,0.0008930631,0.1800223,0.0004157996,0.00005709047,0.0004415425,0.0001123073,0.00006527365,0.004333779],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003253122,"threshold_uncertainty_score":0.01720434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04976596590924704,"score_gpt":0.3150734833703193,"score_spread":0.2653075174610722,"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."}}