{"id":"W3154706993","doi":"10.1016/j.psep.2021.04.014","title":"Pandemic risk management using engineering safety principles","year":2021,"lang":"en","type":"article","venue":"Process Safety and Environmental Protection","topic":"Disaster Response and Management","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada","keywords":"Pandemic; Risk analysis (engineering); Risk management; Psychological intervention; Risk assessment; Survivability; Work (physics); Risk management framework; Engineering; Environmental health; Computer science; Business; Disease; Infectious disease (medical specialty); Medicine; Coronavirus disease 2019 (COVID-19); IT risk management; Computer security; Reliability engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000429452,0.0001666498,0.0001638372,0.00006203907,0.0007795171,0.00001261751,0.00006172609,0.00009752656,0.0002422147],"category_scores_gemma":[0.00002203898,0.0001657971,0.00003862483,0.0001140744,0.00003036427,0.0001978005,0.0002412207,0.0003523229,0.00004971453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002588686,"about_ca_system_score_gemma":0.00001797722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002969785,"about_ca_topic_score_gemma":0.00001322206,"domain_scores_codex":[0.9985957,0.0001636593,0.0003664413,0.0003623923,0.0001917197,0.0003200661],"domain_scores_gemma":[0.9995551,0.00002889478,0.0001433818,0.000182864,0.000006892056,0.00008292301],"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":[0.008148907,0.001466949,0.1179501,0.01462399,0.001737895,0.0002475497,0.0301831,0.3616004,0.0162972,0.007976366,0.00004839343,0.4397192],"study_design_scores_gemma":[0.007623778,0.0002690924,0.1422016,0.001853035,0.0006844538,0.0001117774,0.0582668,0.2295941,0.001005142,0.002501815,0.5541171,0.001771351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5084412,0.0008993695,0.4725902,0.0001616712,0.0004530741,0.002255035,0.00006074191,0.000246545,0.0148922],"genre_scores_gemma":[0.9927192,0.003100928,0.0007803089,0.0001316214,0.00009296512,0.0001748612,0.00003817984,0.00003170792,0.002930263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5540687,"threshold_uncertainty_score":0.676101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0397033504999346,"score_gpt":0.3041615597629998,"score_spread":0.2644582092630652,"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."}}