{"id":"W1510834429","doi":"10.1111/j.1469-0691.2010.03144.x","title":"Usefulness of simulated cases for assessing pandemic influenza preparedness plans","year":2010,"lang":"en","type":"article","venue":"Clinical Microbiology and Infection","topic":"Disaster Response and Management","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Instituto de Salud Carlos III","keywords":"Preparedness; Pandemic; Medical emergency; Influenza pandemic; Quarter (Canadian coin); Public health; Medicine; Coronavirus disease 2019 (COVID-19); Environmental health; Business; Nursing; Political science; Disease; Infectious disease (medical specialty); Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006448598,0.0007466958,0.0004682939,0.002634588,0.0005230979,0.001613073,0.0009356915,0.001548269,0.001856741],"category_scores_gemma":[0.08293844,0.0005005074,0.0005229833,0.000634059,0.0005660253,0.001514661,0.0008036168,0.0003869394,0.0003160088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001152373,"about_ca_system_score_gemma":0.001192762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00357028,"about_ca_topic_score_gemma":0.003581352,"domain_scores_codex":[0.994531,0.003816688,0.0003890153,0.0002242963,0.0009062204,0.0001327718],"domain_scores_gemma":[0.9270403,0.06226555,0.002909946,0.002017219,0.00455326,0.001213644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.008298659,0.002698258,0.5055363,0.0005931188,0.0003990543,0.001733028,0.00177617,0.3500045,0.008958532,0.001633031,0.001649357,0.11672],"study_design_scores_gemma":[0.0004532846,0.007456723,0.1286802,0.0002490388,0.0003907259,0.00221911,0.002836784,0.8418873,0.0105698,0.002594455,0.002508929,0.00015367],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979036,0.0002769009,0.01472547,0.0001214249,0.00003954813,0.0004511345,0.0004651143,0.0002360857,0.004648312],"genre_scores_gemma":[0.9920603,0.0001071011,0.007416785,0.00001192311,0.00000612259,0.00006224326,0.0002132967,0.00000765726,0.0001146346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006448598,"threshold_uncertainty_score":0.03410387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2035984984771904,"score_gpt":0.5169568302714105,"score_spread":0.3133583317942201,"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."}}