Additional file 1 of Data extraction from free-text stroke CT reports using GPT-4o and Llama-3.3-70B: the impact of annotation guidelines

Supplemental material Supplement 1: Parameters excluded from dataset A (translated from German to English). Supplement 2: Parameters excluded from Dataset B (translated from German to English). Supplement 3: Data extraction performance of GPT-4o (temperature = 1) with and without annotation guideline in dataset A (n = 200). Metrics for GPT-4o were calculated based on the mode across three repetitions. Supplement 4: Data extraction performance of GPT-4o (temperature = 1) with and without annotation guideline in dataset A (n = 200). Metrics for GPT-4o were calculated based on the mode across three repetitions. Supplement 5: Data extraction performance of Llama-3.3-70B (temperature = 0) with and without annotation guideline in dataset A (n = 200). Supplement 6: Data extraction performance of Llama-3.3-70B (temperature = 0) with and without annotation guideline in dataset A (n = 200). Supplement 7: Data extraction performance of Llama-3.3-70B (temperature = 0) with and without annotation guideline in dataset B (n = 100). Supplement 8: Data extraction performance of Llama-3.3-70B (temperature = 0) with and without annotation guideline in dataset B (n = 100). Supplement 9: Data extraction performance of GPT-4o (temperature = 0) with and without annotation guideline in dataset A (n = 100). Supplement 10: Data extraction performance of GPT-4o (temperature = 0) with and without annotation guideline in dataset A (n = 100). Supplement 11: Data extraction performance of GPT-4o (temperature = 0) with and without annotation guideline in dataset B (n = 100). Supplement 12: Data extraction performance of GPT-4o (temperature = 0) with and without annotation guideline in dataset B (n = 100). Supplement 13: data extraction performance of GPT-4o (temperature = 1) with and without annotation guideline in dataset B (n = 100).

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Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.29368267.v1
Primary Topic
Particle Accelerators and Free-Electron Lasers
Type
article
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article

Additional file 1 of Data extraction from free-text stroke CT reports using GPT-4o and Llama-3.3-70B: the impact of annotation guidelines

Figshare
Particle Accelerators and Free-Electron Lasers
article

Additional file 1 of Data extraction from free-text stroke CT reports using GPT-4o and Llama-3.3-70B: the impact of annotation guidelines

article en

Abstract

Supplemental material Supplement 1: Parameters excluded from dataset A (translated from German to English). Supplement 2: Parameters excluded from Dataset B (translated from German to English). Supplement 3: Data extraction performance of GPT-4o (temperature = 1) with and without annotation guideline in dataset A (n = 200). Metrics for GPT-4o were calculated based on the mode across three repetitions. Supplement 4: Data extraction performance of GPT-4o (temperature = 1) with and without annotation guideline in dataset A (n = 200). Metrics for GPT-4o were calculated based on the mode across three repetitions. Supplement 5: Data extraction performance of Llama-3.3-70B (temperature = 0) with and without annotation guideline in dataset A (n = 200). Supplement 6: Data extraction performance of Llama-3.3-70B (temperature = 0) with and without annotation guideline in dataset A (n = 200). Supplement 7: Data extraction performance of Llama-3.3-70B (temperature = 0) with and without annotation guideline in dataset B (n = 100). Supplement 8: Data extraction performance of Llama-3.3-70B (temperature = 0) with and without annotation guideline in dataset B (n = 100). Supplement 9: Data extraction performance of GPT-4o (temperature = 0) with and without annotation guideline in dataset A (n = 100). Supplement 10: Data extraction performance of GPT-4o (temperature = 0) with and without annotation guideline in dataset A (n = 100). Supplement 11: Data extraction performance of GPT-4o (temperature = 0) with and without annotation guideline in dataset B (n = 100). Supplement 12: Data extraction performance of GPT-4o (temperature = 0) with and without annotation guideline in dataset B (n = 100). Supplement 13: data extraction performance of GPT-4o (temperature = 1) with and without annotation guideline in dataset B (n = 100).

Figshare
University of Bern (CH), Technical University of Munich (DE)
Openalex Percentile: Top 54%
Particle Accelerators and Free-Electron Lasers
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Additional file 1 of Data extraction from free-text stroke CT reports using GPT-4o and Llama-3.3-70B: the impact of annotation guidelines · Figshare (2025) | TGRS Research Map | TGRS