{
  "id": 15578663,
  "title": "Input-data perturbation in groundwater level prediction: a controlled experiment on accuracy–reliability trade-offs among data augmentation and Bayesian-type uncertainty estimation methods",
  "url": "https://urgent.news/2026/10/19/input-data-perturbation-in-groundwater-level-prediction-a-controlled",
  "topic": "science",
  "section": "Science",
  "published": "2026-10-19T00:00:00.000Z",
  "source": {
    "name": "Scientific Reports",
    "slug": "scientific-reports",
    "url": "https://www.nature.com/articles/s41598-026-76597-4"
  },
  "original_language": "en",
  "account": null,
  "summary": "Scientific Reports, Published online: 19 October 2026; doi:10.1038/s41598-026-76597-4 Input-data perturbation in groundwater level prediction: a controlled experiment on accuracy–reliability trade-offs among data augmentation and Bayesian-type uncertainty estimation methods",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}