{"id":"W2150829503","doi":"10.1089/bsp.2014.0036","title":"Public Health Emergency Planning for Children in Chemical, Biological, Radiological, and Nuclear (CBRN) Disasters","year":2014,"lang":"en","type":"article","venue":"Biosecurity and Bioterrorism Biodefense Strategy Practice and Science","topic":"Disaster Response and Management","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centers for Disease Control and Prevention; National Institutes of Health","keywords":"Radiological weapon; Public health; Context (archaeology); Emergency management; Medicine; Environmental health; Medical emergency; Population; Quarter (Canadian coin); Nursing; Political science; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00403851,0.0002317,0.0003508611,0.0001974096,0.001175142,0.0001338362,0.0002186286,0.0002140237,0.00001507717],"category_scores_gemma":[0.001018356,0.0001709831,0.00003335107,0.0003627057,0.0008146743,0.0006841721,0.0003352547,0.0004044213,0.000005984227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003567817,"about_ca_system_score_gemma":0.0001150119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001862221,"about_ca_topic_score_gemma":0.00001499139,"domain_scores_codex":[0.9971496,0.0005448197,0.0005195513,0.0007830704,0.0001885284,0.0008143786],"domain_scores_gemma":[0.9986104,0.0003998264,0.0003040054,0.0002311109,0.00006829197,0.0003863363],"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":[0.004189554,0.002721616,0.05403056,0.001962605,0.0002695062,0.00004781885,0.3138805,0.000002947243,0.05095235,0.3197591,0.01459531,0.2375881],"study_design_scores_gemma":[0.009263992,0.007673505,0.225465,0.000747396,0.0001264406,0.0001875444,0.3833695,0.002967253,0.0001065063,0.01373541,0.3535058,0.002851688],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863377,0.001002617,0.0001813218,0.0100556,0.0001568434,0.0007931525,0.00002715631,0.00005352943,0.00139213],"genre_scores_gemma":[0.9931989,0.002862377,0.0008500058,0.002929405,0.00008239357,0.00003124023,0.00001365153,0.000008761065,0.00002330835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3389105,"threshold_uncertainty_score":0.9038363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1601411707043025,"score_gpt":0.4071219262075618,"score_spread":0.2469807555032593,"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."}}