# Human-Comparable Sensitivity of Large Language Models in Identifying Eligible Studies Through Title and Abstract Screening: 3-Layer Strategy Using GPT-3.5 and GPT-4 for Systematic Reviews

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/human-comparable-sensitivity-of-large-language-models-in-identifying-eligible/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Kentaro Matsui,Tomohiro Utsumi,Yumi Aoki,Taku Maruki,Masahiro Takeshima,Yoshikazu Takaesu |
| Citations | 42 |
| DOI | 10.2196/52758 |
| Fields | Decision Sciences,Medicine,Psychology |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.jmir.org/2024/1/e52758/PDF |
| OpenAlex ID | https://openalex.org/W4401633394 |
| PMID | 39151163 |
| Type | review |
| Year | 2024 |

## Paper authors

- [Masahiro Takeshima](https://scholariq.org/researchers/masahiro-takeshima/)

## Paper journal

- [Journal of Medical Internet Research](https://scholariq.org/journals/journal-of-medical-internet-research/)

## Paper primary topic

- [Meta-analysis and systematic reviews](https://scholariq.org/topics/meta-analysis-and-systematic-reviews/)

## Paper topics

- [Meta-analysis and systematic reviews](https://scholariq.org/topics/meta-analysis-and-systematic-reviews/)
- [Mental Health via Writing](https://scholariq.org/topics/mental-health-via-writing/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.