{"id":"W4380928093","doi":"10.1016/j.ijheh.2023.114200","title":"Seasonal associations between air pollutants and influenza in 10 cities of southern China","year":2023,"lang":"en","type":"review","venue":"International Journal of Hygiene and Environmental Health","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"National Key Research and Development Program of China Stem Cell and Translational Research; National Major Science and Technology Projects of China; National Key Research and Development Program of China; Chinese Academy of Engineering","keywords":"Pollutant; Air pollutants; Poisson regression; Environmental science; Air pollution; Incidence (geometry); Environmental health; Seasonal influenza; China; Relative risk; Geography; Toxicology; Medicine; Confidence interval; Coronavirus disease 2019 (COVID-19); Biology; Mathematics; Ecology; Disease; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0007532273,0.0002173878,0.0009096883,0.0002491107,0.00007225374,0.00001800678,0.0002441528,0.0001272282,0.0003571187],"category_scores_gemma":[0.00004768276,0.0001841617,0.000125959,0.0001199133,0.0001547737,0.0001747931,0.0002585968,0.000319511,0.00005344344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007873974,"about_ca_system_score_gemma":0.00008823908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004040851,"about_ca_topic_score_gemma":0.0001400541,"domain_scores_codex":[0.9976822,0.0001236183,0.001108754,0.0001927011,0.0006047942,0.0002879676],"domain_scores_gemma":[0.9982826,0.0001666553,0.001221669,0.00008236209,0.000005175263,0.000241601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00002237603,0.000102982,0.04635511,0.0007418764,0.0001092805,0.00002792707,0.001811938,0.00001590763,0.00000168438,0.000004773273,0.000417236,0.9503889],"study_design_scores_gemma":[0.002384935,0.001041858,0.7092118,0.01534905,0.0002799496,0.0003537501,0.002127369,0.00004777998,0.000003039143,0.00119388,0.2672373,0.0007692362],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.217461,0.7753077,0.000003145237,0.0007836004,0.0002211999,0.0003360123,0.005724439,0.000008180962,0.0001547493],"genre_scores_gemma":[0.0284448,0.9708652,0.00005413873,0.0002066053,0.0001849566,0.000003300886,0.00008901511,0.00002900042,0.0001229955],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9496197,"threshold_uncertainty_score":0.7509894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09152547552221438,"score_gpt":0.3810610412114901,"score_spread":0.2895355656892757,"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."}}