{"id":"W4254823562","doi":"10.1111/j.1469-0691.2009.03144.x","title":"USEFULNESS OF SIMULATED CASES FOR ASSESSING PANDEMIC INFLUENZA PREPAREDNESS PLANS","year":2009,"lang":"en","type":"article","venue":"Clinical Microbiology and Infection","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Preparedness; Pandemic; Influenza pandemic; Medical emergency; Quarter (Canadian coin); Public health; Medicine; Coronavirus disease 2019 (COVID-19); Environmental health; Nursing; Political science; Geography; Infectious disease (medical specialty); Disease","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":[0.007956998,0.0009653544,0.0006194719,0.002587911,0.0005696801,0.001811905,0.00121985,0.001812636,0.001989849],"category_scores_gemma":[0.08903959,0.0005824227,0.0006544898,0.0007051969,0.0006659127,0.001768954,0.0008415687,0.0005539395,0.000279905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001846957,"about_ca_system_score_gemma":0.001486667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007584401,"about_ca_topic_score_gemma":0.005367719,"domain_scores_codex":[0.9937276,0.004585067,0.0003557385,0.0003117158,0.0008511781,0.0001687395],"domain_scores_gemma":[0.8935646,0.09446673,0.003628978,0.002423048,0.004577987,0.001338591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004301724,0.00151143,0.1897542,0.0002666154,0.0002928362,0.000658048,0.0005512643,0.7588974,0.002357255,0.001789264,0.0009851666,0.03863474],"study_design_scores_gemma":[0.0002316189,0.002338337,0.02866373,0.00007433611,0.0001504196,0.0003929199,0.0007085229,0.9621845,0.0025302,0.001991596,0.000677174,0.00005666011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765499,0.0002104045,0.017079,0.000145967,0.00003894536,0.0004913391,0.0006949382,0.000224046,0.004565407],"genre_scores_gemma":[0.9931511,0.00006555699,0.006271656,0.00001125744,0.000005389299,0.00006936029,0.0003064458,0.000006854923,0.0001122149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007956998,"threshold_uncertainty_score":0.04208112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.163567356672196,"score_gpt":0.4718024575714959,"score_spread":0.3082351008992998,"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."}}