{"id":"W2123219370","doi":"10.2202/1547-7355.1538","title":"The Stafford Act and Priorities for Reform","year":2009,"lang":"en","type":"article","venue":"Journal of Homeland Security and Emergency Management","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Federal Emergency Management Agency; York University; U.S. Department of Homeland Security","keywords":"Homeland security; Public administration; Emergency management; State (computer science); Political science; Government (linguistics); Terrorism; Natural disaster; Politics; Agency (philosophy); Reform Act; Law; Sociology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0009346,0.00007417509,0.0001190243,0.00006359418,0.0006923968,0.0001116756,0.000187639,0.00002711207,0.00001803638],"category_scores_gemma":[0.00001939041,0.00004520722,0.00005792371,0.00009068384,0.00009635362,0.0002802628,0.00003819804,0.00006594838,4.810599e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002597544,"about_ca_system_score_gemma":0.00001182908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002780135,"about_ca_topic_score_gemma":0.0003619129,"domain_scores_codex":[0.9991436,0.00003489013,0.0002577181,0.00008585166,0.0002638572,0.000214061],"domain_scores_gemma":[0.9996344,0.0000252818,0.0001347909,0.00006899714,0.00005787865,0.00007865097],"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":[0.0003498075,0.0001204309,0.006426628,0.0002075639,0.0002273979,0.00002003757,0.03639599,0.000003314723,0.000005177929,0.6047595,0.01687431,0.3346099],"study_design_scores_gemma":[0.0006445883,0.0005001823,0.03294069,0.00004244171,0.000090997,0.000002077934,0.04533761,0.00004285645,0.000002930649,0.1193913,0.800851,0.0001532717],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8452342,0.007048236,0.000264312,0.01038517,0.001168808,0.0005266595,0.000002435377,0.00001549065,0.1353547],"genre_scores_gemma":[0.9428921,0.05299222,0.0001082599,0.00004420205,0.0001959544,0.000002563883,2.388351e-7,0.000002574561,0.003761885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7839767,"threshold_uncertainty_score":0.5325426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01049463212575833,"score_gpt":0.2938771098487041,"score_spread":0.2833824777229457,"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."}}