{"id":"W3022787740","doi":"10.1016/j.chaos.2020.109864","title":"Time series forecasting of COVID-19 transmission in Canada using LSTM networks","year":2020,"lang":"en","type":"article","venue":"Chaos Solitons & Fractals","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":1098,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Outbreak; Pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Transmission (telecommunications); Deep learning; Long short term memory; Artificial intelligence; Recurrent neural network; China; Artificial neural network; Geography; 2019-20 coronavirus outbreak; Computer science; Demography; Operations research; Virology; Telecommunications; Medicine; Infectious disease (medical specialty); Mathematics; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04050872027370672,"score_gpt":0.2572699373091404,"score_spread":0.2167612170354337,"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."}}