{"id":"W2761041622","doi":"10.2495/safe-v7-n2-234-246","title":"Safety and security of hospitals during natural disasters: Challenges of disaster managers","year":2017,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Disaster Response and Management","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural disaster; Preparedness; Emergency management; Business; Medical emergency; Health care; Environmental planning; Medicine; Geography; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004657324,0.0003660561,0.0003365544,0.001002777,0.004495325,0.005210606,0.0008219113,0.001864473,0.003983235],"category_scores_gemma":[0.01152352,0.0002647694,0.0003548536,0.0007230954,0.001505609,0.004086628,0.002964693,0.002122092,0.000894498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001537993,"about_ca_system_score_gemma":0.006381402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001908844,"about_ca_topic_score_gemma":0.003123873,"domain_scores_codex":[0.9950677,0.002890459,0.000267557,0.0002362971,0.0007339179,0.0008040098],"domain_scores_gemma":[0.9900081,0.002602417,0.002139187,0.0002213296,0.001998703,0.003030214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003301105,0.000993287,0.2818038,0.004022317,0.0001988014,0.008981846,0.1793732,0.001840083,0.002943225,0.01730115,0.1075244,0.3946879],"study_design_scores_gemma":[0.00003380813,0.0008431866,0.09571262,0.002305437,0.00006883271,0.004399105,0.726931,0.001046457,0.0009267392,0.01094162,0.1566295,0.0001616727],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6474813,0.02683625,0.00480665,0.2752037,0.001681686,0.0002414398,0.0004084861,0.00008845927,0.04325199],"genre_scores_gemma":[0.9717871,0.01187567,0.001947398,0.00930559,0.0005027449,0.0001068819,0.00012541,0.00001226917,0.004336925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005210606,"threshold_uncertainty_score":0.02463061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01429871060394556,"score_gpt":0.316815555604164,"score_spread":0.3025168450002185,"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."}}