{
  "author": "Gustavo Venâncio da Silva; Giovana Mancilla Pivato; Beatriz Granetti Peres; Stelio Pacca Loureiro Luna; Monique Danielle Pairis‑Garcia; Pedro Henrique Esteves Trindade",
  "citations": [
    {
      "raw_text": "Scientific Reports | (2023) 13:21237 | https://doi.org/10.1038/s41598-023-48551-1",
      "title": "Simplified assessment of castration‑induced pain in pigs using lower complexity algorithms",
      "authors": "Gustavo Venâncio da Silva; Giovana Mancilla Pivato; Beatriz Granetti Peres; Stelio Pacca Loureiro Luna; Monique Danielle Pairis‑Garcia; Pedro Henrique Esteves Trindade",
      "publication_year": 2023,
      "doi": "10.1038/s41598-023-48551-1",
      "url": "https://www.nature.com/scientificreports/s41598-023-48551-1",
      "confidence": 1
    }
  ],
  "confidence": 1,
  "doc_type": "Scientific Report",
  "id": 35,
  "language": "English",
  "publication_date": "2023",
  "source_type": "file",
  "source_uri": "file:///home/pi/welfare_docs/Animals Assured/Research/Pig Castrate/s41598-023-48551-1.pdf",
  "summary": "This study aimed to verify if supervised and unsupervised algorithms could improve UPAPS pain diagnosis in castrated pigs. Lower complexity algorithms with fewer pain-altered behaviours showed similar predictive capacity (AUC 90.1–90.6) to full UPAPS (90.58). A shorter UPAPS version did not influence predictive capacity, suggesting easier, consistent implementation for pain monitoring.",
  "title": "Simplified assessment of castration‑induced pain in pigs using lower complexity algorithms"
}