{"id":"W2902515631","doi":"10.1186/s12889-018-6250-7","title":"Public health emergency preparedness: a framework to promote resilience","year":2018,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Disaster Response and Management","field":"Health Professions","cited_by":300,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Health; Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke; University of Ottawa; Public Health Ontario; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research","keywords":"Biostatistics; Public health; Medicine; Resilience (materials science); Preparedness; Emergency management; Medical emergency; Environmental health; Epidemiology; Nursing; Economic growth; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.009964879,0.0003758162,0.000651392,0.0006148367,0.002351058,0.00009282694,0.001070602,0.0002197509,0.003153604],"category_scores_gemma":[0.003506129,0.0003395802,0.0001119385,0.002177899,0.0001124057,0.0005836652,0.0008492427,0.0006779579,0.004385615],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001357234,"about_ca_system_score_gemma":0.01090202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001251608,"about_ca_topic_score_gemma":0.004362767,"domain_scores_codex":[0.9899307,0.00301105,0.001765145,0.00111639,0.0009074863,0.003269161],"domain_scores_gemma":[0.9939209,0.0002168002,0.0007208135,0.001793455,0.0005409968,0.002807095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001282085,0.0006809238,0.01613899,0.001506832,0.00004536315,0.000002895278,0.1625988,8.221846e-7,0.000004744484,0.09211931,0.6388625,0.08791057],"study_design_scores_gemma":[0.0004033788,0.0009715258,0.01737452,0.0003508633,0.000002473682,0.000001714652,0.01350675,0.00008603859,3.359285e-7,0.002235917,0.9647629,0.0003035549],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2258766,0.0006931079,0.3527599,0.3324682,0.007401566,0.01065912,0.0001162666,0.001485404,0.06853981],"genre_scores_gemma":[0.801628,0.0004282719,0.04286163,0.1076706,0.003144221,0.002757016,0.00009456436,0.0002075609,0.0412081],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5757514,"threshold_uncertainty_score":0.9999056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2157336571325342,"score_gpt":0.4762227891070134,"score_spread":0.2604891319744792,"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."}}