{"id":"W4408981663","doi":"10.1111/jebm.70019","title":"Synthesizing Public Health Preparedness Mechanisms for High‐Impact Infectious Disease Threats: A Jurisdictional Scan","year":2025,"lang":"en","type":"review","venue":"Journal of Evidence-Based Medicine","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"Public Health Agency","keywords":"Preparedness; Public health; International Health Regulations; Health care; Business; Emergency management; Global health; Infectious disease (medical specialty); Workforce; Pandemic; Public relations; Medicine; Medical emergency; Political science; Disease; Coronavirus disease 2019 (COVID-19); Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005829643,0.0007457731,0.004367379,0.003095082,0.0004116395,0.00009972617,0.0004079223,0.0002872231,0.0004817571],"category_scores_gemma":[0.008398798,0.0004095205,0.001860298,0.001770053,0.0002770195,0.0004763897,0.00007383413,0.001291217,0.000007692736],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003741561,"about_ca_system_score_gemma":0.03174959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002100981,"about_ca_topic_score_gemma":0.00002051081,"domain_scores_codex":[0.9936343,0.0007533493,0.002482496,0.0005931482,0.001670371,0.0008662852],"domain_scores_gemma":[0.9890626,0.004235223,0.002181084,0.0006555718,0.002033971,0.001831551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0006494818,0.000567561,0.0000712579,0.05456408,0.001236933,0.0001810281,0.00006004652,0.00002106239,0.000004538817,0.0006164978,0.01090441,0.9311231],"study_design_scores_gemma":[0.004434856,0.01086986,0.0001891921,0.5603871,0.006955971,0.001272709,0.0001035846,0.0001547974,0.000004815567,0.002154182,0.4129038,0.0005691005],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002659032,0.944921,0.03867387,0.01201494,0.001425168,0.002666459,0.0001284759,0.00006884279,0.00007464699],"genre_scores_gemma":[0.002806574,0.9915301,0.0007180597,0.0009524503,0.00278069,0.000314535,0.0001345471,0.00009141716,0.0006716418],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.930554,"threshold_uncertainty_score":0.9999539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3352340853519318,"score_gpt":0.5054519080436269,"score_spread":0.1702178226916951,"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."}}