{"id":"W1499025664","doi":"10.3968/4498","title":"Regional Resilience Based on Natural Disasters","year":2014,"lang":"en","type":"article","venue":"Canadian social science","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Credibility; Analytic hierarchy process; Flood myth; Coping (psychology); Resilience (materials science); Natural disaster; Government (linguistics); Population; Political science; Business; Sociology; Psychology; Geography; Operations research; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0007297989,0.0002878521,0.0003207487,0.003553379,0.000749924,0.001921525,0.0004781637,0.0002433491,0.004958696],"category_scores_gemma":[0.003534564,0.0001384425,0.000585162,0.002549012,0.001585386,0.001611737,0.003282414,0.0003019114,0.000345333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002022146,"about_ca_system_score_gemma":0.0009646285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0123344,"about_ca_topic_score_gemma":0.01139194,"domain_scores_codex":[0.9992099,0.0002274009,0.00004114012,0.0001605601,0.0001673732,0.00019362],"domain_scores_gemma":[0.9989845,0.0001905218,0.0002947611,0.00008944023,0.0002906114,0.0001501559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0006854968,0.00007895484,0.2945215,0.001811721,0.001022291,0.00438679,0.02724574,0.09635808,0.01021952,0.3420684,0.01542865,0.2061728],"study_design_scores_gemma":[0.00003597641,0.0003103601,0.7047724,0.0006531578,0.000884523,0.002030551,0.06699172,0.04275965,0.003246025,0.09785619,0.08019093,0.0002686222],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8308119,0.003265558,0.03573876,0.002398039,0.000102198,0.0001424707,0.002129201,0.0004844402,0.1249275],"genre_scores_gemma":[0.9972129,0.0003237696,0.001276802,0.00001830041,0.000009604054,0.00002268962,0.0001919727,0.00001468853,0.0009292213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0123344,"threshold_uncertainty_score":0.02452523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212354070406252,"score_gpt":0.269645167589452,"score_spread":0.2575216268853895,"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."}}