{"id":"W4412086423","doi":"10.1016/j.lana.2025.101166","title":"Characterisation of the respiratory syncytial virus seasonality and its environmental factors in the Americas—a multi-country observational study using routine surveillance networks","year":2025,"lang":"en","type":"article","venue":"The Lancet Regional Health - Americas","topic":"Respiratory viral infections research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Pan American Health Organization; Centers for Disease Control and Prevention; Secretaría de Salud; Ministério da Saúde; Public Health Agency; University of Edinburgh; National Institutes of Health; Public Health Agency of Canada; World Health Organization","keywords":"Seasonality; Bronchiolitis; Seasonal influenza; Demography; Virus; Geography; Respiratory system; Medicine; Virology; Coronavirus disease 2019 (COVID-19); Biology; Internal medicine; Ecology; Disease","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.002354132,0.0004259033,0.0005223769,0.0009423372,0.0005306117,0.0008791215,0.0006813126,0.0005693326,0.0005080727],"category_scores_gemma":[0.00279252,0.0005122283,0.0007149203,0.001897659,0.0003940398,0.0008401329,0.00111144,0.0007997932,0.0001688684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008662291,"about_ca_system_score_gemma":0.0007630956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03245565,"about_ca_topic_score_gemma":0.02935884,"domain_scores_codex":[0.9984891,0.0005581417,0.0002120541,0.000384769,0.0001890503,0.0001667674],"domain_scores_gemma":[0.9968243,0.0004568768,0.001536558,0.0003519263,0.0004391978,0.0003912064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002870575,0.00002162332,0.9991649,0.00001342731,0.00007564551,0.00002126756,0.0001171889,0.0000410022,0.0001368018,0.000006608483,0.00007445328,0.0002983333],"study_design_scores_gemma":[0.000003403872,0.00005672693,0.9991938,0.000007697411,0.00002078529,0.00008378981,0.0002843079,0.0002050329,0.00002699129,0.000005145191,0.0001095481,0.000002593602],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980368,0.0001747036,0.0001437112,0.00002484305,0.00000338086,0.00002152455,0.00144703,0.000003752056,0.0001443067],"genre_scores_gemma":[0.9977294,0.0001206588,0.0002453455,0.00003311173,0.000006092133,0.00003965041,0.001779593,0.000002546578,0.00004370048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03245565,"threshold_uncertainty_score":0.06453347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3018522311653261,"score_gpt":0.4604824724727677,"score_spread":0.1586302413074416,"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."}}