{"id":"W4289523108","doi":"10.3389/fpubh.2022.989573","title":"Editorial: Improving disaster health outcomes and resilience through rapid research: Implications for public health policy and practice","year":2022,"lang":"en","type":"editorial","venue":"Frontiers in Public Health","topic":"Disaster Response and Management","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Resilience (materials science); Public health; Disaster medicine; Emergency management; Public relations; Political science; Front (military); Health policy; Disaster planning; Medicine; Medical emergency; Suicide prevention; Nursing; Poison control; 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":["metaresearch","metaepi_narrow","sts","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.05563546,0.0007382202,0.002038506,0.002309975,0.005756066,0.000488389,0.001287677,0.0008393746,0.00003533192],"category_scores_gemma":[0.04994591,0.0007260257,0.0001455504,0.002036644,0.0005283432,0.001834474,0.002209465,0.004854753,0.000007071113],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.00848752,"about_ca_system_score_gemma":0.05261855,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01878295,"about_ca_topic_score_gemma":0.001744495,"domain_scores_codex":[0.9693784,0.01730464,0.003156521,0.002418789,0.002425569,0.005316077],"domain_scores_gemma":[0.9774358,0.01472575,0.00269903,0.001995977,0.001084404,0.002059103],"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":[0.0002093114,0.0003076592,0.0004891374,0.003026906,0.00009765268,7.209933e-7,0.03009999,2.163151e-7,7.068909e-8,0.01307629,0.8761295,0.07656252],"study_design_scores_gemma":[0.002343904,0.001129571,0.0007485706,0.0002263913,0.000009745193,0.000001481531,0.05914992,0.00001217841,2.116864e-9,0.003022044,0.9329281,0.0004280458],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.000007352521,0.003706839,0.009032892,0.4063138,0.5712402,0.006585466,0.001330278,0.0001450967,0.001637996],"genre_scores_gemma":[0.0001302911,0.0284561,0.01607368,0.03300373,0.9055437,0.008112034,0.001687843,0.0003193947,0.006673257],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.3733101,"threshold_uncertainty_score":0.9995191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1984788407507997,"score_gpt":0.5208382334545614,"score_spread":0.3223593927037617,"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."}}