{"id":"W2130226460","doi":"10.1086/652159","title":"Association between Patient Age and Influenza A Subtype during Influenza Outbreaks","year":2010,"lang":"en","type":"article","venue":"Infection Control and Hospital Epidemiology","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Provincial Laboratory of Public Health; University of Calgary; University of Alberta","funders":"","keywords":"Outbreak; Pandemic; Medicine; Long-term care; Virology; Coronavirus disease 2019 (COVID-19); Internal medicine; Disease; Nursing; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001189795,0.0002328568,0.0007949794,0.0001942232,0.0002898968,0.00002366165,0.000035971,0.0003961223,0.00002803289],"category_scores_gemma":[0.01062591,0.0001932912,0.0001043046,0.0001155326,0.0002427961,0.0001727191,0.000100641,0.0008448045,0.00003420406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001069928,"about_ca_system_score_gemma":0.00004012537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001299688,"about_ca_topic_score_gemma":0.0002082354,"domain_scores_codex":[0.9980036,0.0002527047,0.0006321631,0.0004013521,0.0001655273,0.0005446227],"domain_scores_gemma":[0.9975215,0.001425976,0.0003320287,0.0001962244,0.0002638256,0.0002605065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001776558,0.00004681814,0.9854815,0.00006140205,0.0003989224,0.00001399084,0.0002836494,0.000004933627,0.002044335,0.000273264,0.000218937,0.01099461],"study_design_scores_gemma":[0.003294967,0.0007977909,0.9639934,0.0000236253,0.0001587445,0.00001694056,0.00001705977,0.0000665045,0.00007667686,0.0007711577,0.03060041,0.0001826867],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951397,0.0008166392,0.00004060514,0.002259256,0.0003347337,0.0006102743,0.00002643356,0.0001149403,0.0006573701],"genre_scores_gemma":[0.9956592,0.0002477041,0.0001205682,0.003286666,0.0004896733,0.0000961034,0.000006291706,0.00001961519,0.0000741825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03038147,"threshold_uncertainty_score":0.997708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03973159048513136,"score_gpt":0.3539653583985322,"score_spread":0.3142337679134008,"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."}}