{"id":"W3198422133","doi":"10.1016/j.idm.2021.08.006","title":"Regional and temporal patterns of influenza: Application of functional data analysis","year":2021,"lang":"en","type":"article","venue":"Infectious Disease Modelling","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Children's Hospital Research Institute of Manitoba; University of Manitoba","keywords":"Functional data analysis; Variance (accounting); Geography; Statistics; Random effects model; Demography; Cartography; Medicine; Meta-analysis; Mathematics; Sociology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006846465,0.0008218615,0.0007563828,0.00369838,0.0004284812,0.001198224,0.0009095785,0.0008901097,0.001103764],"category_scores_gemma":[0.02708223,0.0003521075,0.002026638,0.00291628,0.0005639161,0.00114699,0.001010338,0.0009464871,0.0001698569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001203009,"about_ca_system_score_gemma":0.0009846461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0217456,"about_ca_topic_score_gemma":0.01259554,"domain_scores_codex":[0.9962814,0.002845566,0.0001666719,0.0004100024,0.0002060904,0.00009026559],"domain_scores_gemma":[0.9845926,0.01231263,0.001071889,0.001045073,0.0008000109,0.0001778044],"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":[0.0002153978,0.0001980989,0.2510444,0.0003407855,0.001616614,0.0004383882,0.0006998579,0.5367014,0.001419697,0.01922132,0.002398253,0.1857058],"study_design_scores_gemma":[0.000009491112,0.00007132679,0.03590875,0.00004728859,0.00007634848,0.00009855318,0.0002420837,0.9459564,0.0002949002,0.01578696,0.00147102,0.00003678697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2388505,0.001053065,0.7523342,0.001753115,0.0001318548,0.0002382725,0.002311623,0.0006499051,0.002677477],"genre_scores_gemma":[0.8807884,0.0003671303,0.117021,0.00008904385,0.00007347522,0.0001863281,0.001099753,0.00005870482,0.0003161093],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0217456,"threshold_uncertainty_score":0.04323804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1518742526808132,"score_gpt":0.371282444764143,"score_spread":0.2194081920833298,"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."}}