{"id":"W2589070312","doi":"","title":"Building Community Resilience and Supporting Vulnerable Populations: Social Networks and Community Capacity","year":2009,"lang":"en","type":"article","venue":"VTechWorks (Virginia Tech)","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of North Carolina at Chapel Hill","keywords":"Resilience (materials science); Community resilience; Environmental resource management; Environmental planning; Sociology; Geography; Computer science; Environmental science; Resource (disambiguation)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00201038,0.0003333728,0.0002612023,0.001295998,0.004371175,0.006447714,0.000666291,0.001422309,0.01214458],"category_scores_gemma":[0.003130611,0.0002146234,0.0002192457,0.001104633,0.006431405,0.004552324,0.004882764,0.001467025,0.0004293181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006396855,"about_ca_system_score_gemma":0.01630807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1253655,"about_ca_topic_score_gemma":0.2880337,"domain_scores_codex":[0.9994355,0.0002152009,0.00001020676,0.00004271168,0.00009090299,0.0002054837],"domain_scores_gemma":[0.9982765,0.0006335555,0.0001154204,0.00006674618,0.0002313941,0.000676467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009656606,0.0003008864,0.01534462,0.0004581001,0.00007457977,0.0004881115,0.03691275,0.002884089,0.0008690107,0.518434,0.1215796,0.3025576],"study_design_scores_gemma":[0.00005115923,0.0001306599,0.02904229,0.001136066,0.00007923471,0.0002645759,0.09150863,0.002976417,0.0006945931,0.386989,0.487047,0.00008035363],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2068846,0.03621292,0.01911664,0.3272893,0.001597758,0.0002460155,0.0005003199,0.0001796737,0.4079728],"genre_scores_gemma":[0.9689236,0.01084684,0.002617103,0.001300746,0.0002380978,0.00006524975,0.00009252835,0.00001857427,0.01589736],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1253655,"threshold_uncertainty_score":0.2492717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04641894040828506,"score_gpt":0.3390434217103747,"score_spread":0.2926244813020896,"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."}}