{"id":"W4401585994","doi":"10.2196/55822","title":"Increased Risk of Influenza Infection During Cold Spells in China: National Time Series Study","year":2024,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Incidence (geometry); Demography; Distributed lag; Common cold; Medicine; Population; Extreme Cold; Relative risk; Mainland China; China; Environmental health; Confidence interval; Geography; Climatology; Statistics; Immunology; Internal medicine; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002475248,0.0007420877,0.001051691,0.001152094,0.0006963982,0.0006976966,0.0008786698,0.000631883,0.001204452],"category_scores_gemma":[0.003078415,0.0005539126,0.002652516,0.002588201,0.0003301011,0.0006489955,0.0008030265,0.0008603368,0.0001198271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001299874,"about_ca_system_score_gemma":0.001487214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03858176,"about_ca_topic_score_gemma":0.03613584,"domain_scores_codex":[0.9984455,0.0004263768,0.0002856988,0.0004772369,0.0001928815,0.0001723994],"domain_scores_gemma":[0.9976306,0.0003866614,0.0008037969,0.0003670996,0.0004423957,0.0003693978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002320068,0.00002550115,0.9952391,0.0002038103,0.001871753,0.00008328739,0.0001021939,0.0001761923,0.0001109541,0.00005108288,0.0003830363,0.0015211],"study_design_scores_gemma":[0.00003429598,0.00008431837,0.9970547,0.00005206235,0.001077672,0.00008185949,0.0001016281,0.0009054468,0.00004899656,0.00006728264,0.0004784137,0.00001327821],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865646,0.006868692,0.0006322008,0.0003705879,0.00009940215,0.00007023197,0.004799434,0.00001596268,0.0005789857],"genre_scores_gemma":[0.9945457,0.001222034,0.0003128806,0.000156542,0.00005963424,0.0000832916,0.003405315,0.000006546683,0.0002079721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03858176,"threshold_uncertainty_score":0.0767144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04049165971053565,"score_gpt":0.3761037259340645,"score_spread":0.3356120662235288,"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."}}