{"id":"W2556418835","doi":"10.5751/es-03381-150218","title":"Ecological and Human Community Resilience in Response to Natural Disasters","year":2010,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":298,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Oak Ridge National Laboratory","keywords":"Resilience (materials science); Natural disaster; Community resilience; Environmental resource management; Disaster response; Natural (archaeology); Ecology; Geography; Hurricane katrina; Environmental planning; Emergency management; Environmental science; Political science; Biology; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.001987451,0.00006865346,0.0001101206,0.00002734923,0.001144388,0.00005049587,0.000217851,0.0001388039,0.00005472686],"category_scores_gemma":[0.0002958634,0.00006004463,0.00002656462,0.0001421947,0.001217515,0.0001288206,0.0002221319,0.0004917415,0.000006035109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002308427,"about_ca_system_score_gemma":0.00002671853,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003503675,"about_ca_topic_score_gemma":0.03213665,"domain_scores_codex":[0.998845,0.0005358001,0.0001032466,0.0001656129,0.00008293194,0.0002673941],"domain_scores_gemma":[0.9992658,0.0004871674,0.0000251431,0.0001096549,0.00001456227,0.00009760172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001347979,0.0002698881,0.7601081,0.00001593273,0.00001347112,0.00001133829,0.1967393,0.000004073805,0.007759003,0.02866611,0.004779995,0.00149802],"study_design_scores_gemma":[0.0002071617,0.00008684691,0.9530708,0.000002850996,0.000002673426,5.853552e-7,0.03912939,0.000009484324,0.00000491758,0.001141323,0.006263205,0.00008082327],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921823,0.000008480656,0.000001689845,0.003119034,0.0002365885,0.000177968,9.864027e-7,0.00002198696,0.004251005],"genre_scores_gemma":[0.9961609,0.00001225826,0.0002114785,0.001129005,0.00002903642,0.00001208349,8.54609e-7,0.000002197989,0.002442192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1929627,"threshold_uncertainty_score":0.9855244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316614786936352,"score_gpt":0.309194288615923,"score_spread":0.2960281407465595,"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."}}