{"id":"W1586199720","doi":"","title":"Exercises Abroad: How Differing National Experiences are Reflected in Emergency Response Planning and Exercises","year":2007,"lang":"en","type":"article","venue":"University of North Texas Digital Library (University of North Texas)","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Energy","keywords":"Emergency response; Natural disaster; Emergency management; Government (linguistics); Emergency planning; Event (particle physics); Political science; Public relations; Disaster response; Psychology; Operations management; Engineering; Geography; Medicine; Medical emergency; Law","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":[0.005322493,0.0004014318,0.0004002614,0.0009751264,0.008679096,0.006691117,0.001026882,0.001873574,0.003470758],"category_scores_gemma":[0.01287504,0.0003894943,0.0003910157,0.000891978,0.008889792,0.004921917,0.01024023,0.004603555,0.0004704552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002360973,"about_ca_system_score_gemma":0.001596833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007705014,"about_ca_topic_score_gemma":0.01712369,"domain_scores_codex":[0.9933951,0.004638741,0.0001703211,0.0003254733,0.0005056764,0.0009646802],"domain_scores_gemma":[0.9953327,0.002239527,0.0004525731,0.0002985834,0.0003914172,0.001285296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00004454317,0.00005393051,0.005343933,0.00003220098,0.00001201128,0.0005084455,0.9825324,0.00006852073,0.0003648486,0.001934271,0.001712327,0.007392562],"study_design_scores_gemma":[0.000002214123,0.00002264233,0.004820101,0.00004028659,0.000004015604,0.0001827355,0.9827232,0.00004200672,0.00009414808,0.0003180038,0.01173429,0.00001624382],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9620897,0.0003242605,0.0007293859,0.00337438,0.0001235716,0.00001762402,0.00003701743,0.00002957418,0.03327455],"genre_scores_gemma":[0.9948307,0.000272638,0.0002512955,0.0006110644,0.00001390473,0.00002238304,0.00003757185,0.00003625462,0.003924194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008679096,"threshold_uncertainty_score":0.02814835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01768219449546126,"score_gpt":0.233773262459516,"score_spread":0.2160910679640547,"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."}}