{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001274368,0.0001181894,0.0001055892,0.0002952051,0.002971159,0.0003359231,0.001197229,0.00005732055,0.0001286753],"category_scores_gemma":[0.0004080007,0.0001139589,0.00005978003,0.00145306,0.003562393,0.0004410465,0.00003490889,0.000141383,0.0001419374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005646104,"about_ca_system_score_gemma":0.001002705,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01789691,"about_ca_topic_score_gemma":0.09446155,"domain_scores_codex":[0.997298,0.000134604,0.0001237209,0.0004491606,0.001082582,0.0009119149],"domain_scores_gemma":[0.9989203,0.00009202793,0.0000578094,0.0002025371,0.0001042476,0.000623073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001694573,0.00003509056,0.0122091,0.000008199998,0.000002854762,0.00001061965,0.01075199,0.00006823728,0.0001665801,0.8935502,0.0269514,0.05622884],"study_design_scores_gemma":[0.0002825777,0.00005995026,0.02911237,0.00003891063,0.000007605717,2.561533e-7,0.01446738,0.002856203,0.00002657231,0.001689093,0.9509614,0.0004977019],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03939999,0.000008369038,0.0001357782,0.008254865,0.0008975244,0.000193665,0.000003382191,0.00005791794,0.9510485],"genre_scores_gemma":[0.9890242,0.000001581936,0.00008435916,0.00585228,0.0003679976,0.000007980795,0.000002033119,0.000006292925,0.004653232],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9496242,"threshold_uncertainty_score":0.9991493,"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."}}