{"id":"W3144291512","doi":"10.18280/ijsse.110105","title":"Emergency Preparedness within the Hotel Industry: A Case Study of Wuhan City, China","year":2021,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hubei University; Hubei University of Education","keywords":"Preparedness; Emergency management; China; Business; Hospitality industry; Resilience (materials science); Hospitality; Tourism; Respondent; Marketing; Public relations; Geography; Economic growth; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006132809,0.00005914369,0.000107249,0.00006333068,0.0001030622,0.00004702162,0.0002673652,0.00004317251,0.00005530356],"category_scores_gemma":[0.0001744591,0.00004558223,0.00004402353,0.0001595424,0.00004204188,0.0002316976,0.0001102844,0.0002401145,1.346229e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002926584,"about_ca_system_score_gemma":0.00006005641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000527331,"about_ca_topic_score_gemma":0.001237842,"domain_scores_codex":[0.999018,0.00006427213,0.0003198751,0.00007384293,0.0004445661,0.00007949532],"domain_scores_gemma":[0.999456,0.00004109918,0.0001763217,0.00006124378,0.0002123012,0.0000529954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001806915,0.001126656,0.04886366,0.00007849457,0.0009747925,0.005394675,0.8899661,0.02457528,0.0002376229,0.02422233,0.0002205429,0.004159191],"study_design_scores_gemma":[0.002775177,0.0003982257,0.06496824,0.0005467029,0.0002322339,0.002740671,0.9073468,0.008720174,0.0002239728,0.003307461,0.008207187,0.0005331854],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996533,0.0002098075,0.0003471199,0.0005289809,0.001125638,0.0000644985,0.000002447258,0.000005385051,0.001183107],"genre_scores_gemma":[0.9994259,0.0001947204,0.00003307042,0.000009277327,0.0002114734,6.375873e-7,2.933163e-7,0.000003052804,0.0001215347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02091486,"threshold_uncertainty_score":0.1858789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01433508626409235,"score_gpt":0.2972010279192779,"score_spread":0.2828659416551856,"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."}}