NCBI PubMed Central
open access
Potential and limitations of a large language model in the statistical review of comparative categorical data: an exploratory study of structured prompt-guided approach.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Self-regulating the use of large language models in clinical practice: a risk-stratified approach.#161902
- Lexical, Syntactic, and Semantic Distances Across Five Languages: A Reproducible Framework Integrating Python NLP and R Statistical Modeling#1180133
- Lexical, Syntactic, and Semantic Distances Across Five Languages: A Reproducible Framework Integrating Python NLP and R Statistical Modeling#1180034
- Can a Fine-Tuned Language Model Assess Personality Equitably Across Race in Older Adults?#486097
- Evaluating Fine-Tuned and Base Language Models in Maternal and Vaccination Healthcare for African Settings#1036794
Record · ID 427946
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive