EasySLR uses purpose-specific GPT models across different review stages to optimise accuracy, performance, and cost efficiency. Each model has been selected based on the complexity and nature of the task it supports, ensuring reliable AI assistance throughout the systematic review workflow.

Title–Abstract (TiAB) Screening

• PICOS Extraction: GPT-5-mini

• Screening Decisions:GPT-5-mini

This setup ensures fast and consistent interpretation of abstracts while maintaining strong alignment with PICOS criteria.

Full-Text (FT) Screening

• PICOS Extraction: GPT-5.2

• Screening Decisions: GPT-5.2

Data Extraction (DE)

• Data Extraction & Reasoning: GPT-5.2

Search Query & Protocol Generation

• Search Query Generation: GPT-5.2

• Protocol Generation: GPT-5.2

Protocol Text Review

• Protocol Review & Refinement: GPT-5.2

Ensures clarity, consistency, and methodological soundness in protocol text through advanced language understanding.

Conflict Analysis

• Reviewer Conflict Analysis: GPT-5.2

Improves identification and interpretation of reviewer disagreements across screening and extraction stages.

Report Generation

• Report Creation & Summarisation: GPT-5.2

Supports accurate, well-structured reporting for screening metrics, QC, and audit documentation.

PDF Matching

• Full-Text matching: GPT-5.4-nano

Efficiently matches uploaded PDFs to citations with high accuracy, ensuring seamless full-text linking and reducing manual effort in document management.

Mini Data Extraction

• Tiab Mini DE: GPT-5-mini

• FT Mini DE: GPT-5.2

Enables quick and structured data capture during screening, helping extract key information into predefined fields with minimal manual effort while maintaining reviewer control.