{"id":"W4413446007","doi":"10.1002/9781394323555.ch04","title":"Emergency Preparedness, Response, and Management","year":2025,"lang":"en","type":"other","venue":"","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emergency management; Preparedness; Emergency response; Disaster response; Medical emergency; Computer science; Political science; Medicine","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":[0.001370237,0.0002256772,0.0001306403,0.001435741,0.002392583,0.003851811,0.0005084862,0.0006106852,0.01145155],"category_scores_gemma":[0.003232842,0.0001070711,0.0001323767,0.002186963,0.002112055,0.001539637,0.001505383,0.0006790995,0.001434125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0111893,"about_ca_system_score_gemma":0.01386682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06076947,"about_ca_topic_score_gemma":0.08829303,"domain_scores_codex":[0.9979259,0.000606566,0.0001032209,0.000098943,0.0007155104,0.0005498163],"domain_scores_gemma":[0.998399,0.0003696453,0.0001914511,0.00005293452,0.0006388591,0.0003480996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007274176,0.0002166806,0.03258781,0.0008675138,0.00001978993,0.0004412602,0.01460268,0.002949883,0.0004242664,0.3867302,0.1235799,0.4375073],"study_design_scores_gemma":[0.000007970772,0.00005503678,0.03048759,0.0007562599,0.000005059747,0.0002698678,0.03624829,0.0003495905,0.0002453632,0.007749989,0.9238049,0.00002019164],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05092999,0.02438295,0.002416285,0.02747857,0.0005887722,0.0002048197,0.0006399991,0.0001130476,0.8932455],"genre_scores_gemma":[0.801215,0.05814856,0.004991433,0.005909053,0.0004233393,0.0003860372,0.00102946,0.0001028881,0.1277942],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06076947,"threshold_uncertainty_score":0.1208315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053554534664516,"score_gpt":0.309053888603243,"score_spread":0.2985183432565979,"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."}}