{"id":"W2311978616","doi":"","title":"Resilient Small Rural Towns and Community Shocks","year":2013,"lang":"en","type":"article","venue":"Journal of rural and community development","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shock (circulatory); Social capital; Preparedness; Demographic economics; Capitalism; Socioeconomics; Economic growth; Development economics; Sociology; Geography; Economics; Political science; Social science; Politics; Management","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":[],"category_scores_codex":[0.002077759,0.0001247162,0.0002105341,0.00009879239,0.002731212,0.0002527699,0.0005458392,0.00005655173,0.0001001307],"category_scores_gemma":[0.0001127583,0.00009275701,0.00004074668,0.0001290355,0.0003659653,0.0003972018,0.0004412959,0.0009674803,0.000009444904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007247979,"about_ca_system_score_gemma":0.00009928617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004374139,"about_ca_topic_score_gemma":0.003515341,"domain_scores_codex":[0.997695,0.001335235,0.0003647545,0.00003350173,0.0003104788,0.0002610448],"domain_scores_gemma":[0.9989606,0.0002877196,0.0001983759,0.0001593331,0.0001702677,0.000223772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007251134,0.0007747776,0.06764303,0.0001030291,0.0001463298,0.000005823581,0.4094363,0.000006246266,0.0003785092,0.001414832,0.003877113,0.5161415],"study_design_scores_gemma":[0.0004365051,0.0002133881,0.4664772,0.0001994398,0.0000185296,0.00001490335,0.5106271,0.000005098839,0.00006448514,0.002535171,0.01921576,0.0001923937],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851885,0.0002648245,0.00003815437,0.001711219,0.0001525303,0.0001521127,3.772961e-7,0.00001352665,0.01247879],"genre_scores_gemma":[0.9958269,0.0005180524,0.0006743176,0.000253908,0.00004064169,0.00000399397,0.000001507493,0.000004521939,0.002676174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5159491,"threshold_uncertainty_score":0.9985671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02935203649294981,"score_gpt":0.2664648193756779,"score_spread":0.2371127828827281,"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."}}