{"id":"W2062087947","doi":"10.1016/j.jhydrol.2014.03.057","title":"Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review","year":2014,"lang":"en","type":"review","venue":"Journal of Hydrology","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":724,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Wavelet; Hydrological modelling; Robustness (evolution); Artificial intelligence; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.066665002833659,"score_gpt":0.3391637691388423,"score_spread":0.2724987663051833,"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."}}