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Seraphina Fong

Biographic Data

ID7843488
NAMESeraphina Fong
GIVEN NAMESSeraphina
FAMILY NAMEFong
SIGNATUREFONG S
AFFILIATIONSUniversity of Trento
ORCID0000-0002-8256-746X
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Diagnostic Accuracy of GPT‐Based Large Language Models Across Versions, Prompting Techniques, and Case Presentation Formats

    Open Access•Seraphina Fong, Alessandro Carollo et al.•ARTICLE•Human Behavior and Emerging…•2026

    Despite the centrality of the diagnostic assessment in psychiatry, the agreement among mental health practitioners often varies from poor to moderate. The potential of large language models (LLMs; such as gpt‐based models), among other approaches, has been studied to be used as standardized tools to support clinicians’ decision‐making. The current work investigates the diagnostic accuracy of gpt‐based LLMs (gpt‐3.5 and gpt‐5.1) across different c…

  • Dynamic Topic Modeling of Kratom Use and Experiences

    Open Access•Seraphina Fong, Alessandro Carollo et al.•ARTICLE•International Journal of Mental…•2025

    Traditionally used in Southeast Asia for common ailments, kratom ( Mitragyna speciosa ) is increasingly being adopted in other regions for the self-treatment of pain and mental health issues (e.g., anxiety, depression, and substance use disorder) in absence of clinical supervision and with several toxicities. To gain better insight into the experiences, the motivations, and the patterns underlying kratom use, previous studies have analyzed materi…

  • To wine or not to wine? A scientometric approach to 65+ years of wine preference and selection studies

    Open Access•Alessandro Carollo, Seraphina Fong et al.•ARTICLE•British Food Journal•2022

    Purpose Among the growing interest towards market segmentation and targeted marketing, the current study adopted a scientometric approach to examine the literature on wine selection and preferences. The current review specifically attempts to shed light on the research that explores the determinants of wine preferences at multiple levels of analysis. Design/methodology/approach CiteSpace was used to compute a Document Co-Citation Analysis (DCA) o…

No prominent works on this page.

  • To wine or not to wine? A scientometric approach to 65+ years of wine preference and selection studies

    Open Access•Alessandro Carollo, Seraphina Fong et al.•ARTICLE•British Food Journal•2022

    Purpose Among the growing interest towards market segmentation and targeted marketing, the current study adopted a scientometric approach to examine the literature on wine selection and preferences. The current review specifically attempts to shed light on the research that explores the determinants of wine preferences at multiple levels of analysis. Design/methodology/approach CiteSpace was used to compute a Document Co-Citation Analysis (DCA) o…

  • Dynamic Topic Modeling of Kratom Use and Experiences

    Open Access•Seraphina Fong, Alessandro Carollo et al.•ARTICLE•International Journal of Mental…•2025

    Traditionally used in Southeast Asia for common ailments, kratom ( Mitragyna speciosa ) is increasingly being adopted in other regions for the self-treatment of pain and mental health issues (e.g., anxiety, depression, and substance use disorder) in absence of clinical supervision and with several toxicities. To gain better insight into the experiences, the motivations, and the patterns underlying kratom use, previous studies have analyzed materi…

  • Diagnostic Accuracy of GPT‐Based Large Language Models Across Versions, Prompting Techniques, and Case Presentation Formats

    Open Access•Seraphina Fong, Alessandro Carollo et al.•ARTICLE•Human Behavior and Emerging…•2026

    Despite the centrality of the diagnostic assessment in psychiatry, the agreement among mental health practitioners often varies from poor to moderate. The potential of large language models (LLMs; such as gpt‐based models), among other approaches, has been studied to be used as standardized tools to support clinicians’ decision‐making. The current work investigates the diagnostic accuracy of gpt‐based LLMs (gpt‐3.5 and gpt‐5.1) across different c…

Alkaloids: synthesis and pharmacology (1 work) · Berberine and alkaloids research (1 work) · Business (1 work) · Computer Science (1 work) · Consumption (sociology) (1 work) · Context (archaeology) (1 work) · Diagnostic accuracy (1 work) · Diagnostic model (1 work) · Equivalence (formal languages) (1 work) · Fermentation and Sensory Analysis (1 work)

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