Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx by Rasita Vinay (21006911)

“…Introduction<p>The emergence of artificial intelligence (AI) large language models (LLMs), which can produce text that closely resembles human-written content, presents both opportunities and risks. …”

Feasibility of AI-powered assessment scoring: Can large language models replace human raters? by Michael Jaworski III (22156096)

“…<p><b>Objective:</b> To assess the feasibility, accuracy, and reliability of using ChatGPT-4.5 (early-access), a large language model (LLM), for automated scoring of Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) protocols. …”

Numerical values underlying all Figs. by Juliana Zimmermann (10507091)

“…We tested this hypothesis in two multimodal brain imaging experiments in healthy humans, in which we drove large changes in total CBV by neuronal burst-suppression under anesthesia or by transient global vasodilation in a hypercapnic challenge. …”

GPT-4 results in decreased error rate for all tasks with increasing complexity when compared to GPT-3.5-turbo. by Jacqueline A. Jansen (14894276)

Increasing number of samples increases the mean G_C values of all genes. by Chintan J. Joshi (5961200)

Boxplots created with all possible pairwise combinations of monitoring buoys in 2021 and 2022 for Pearson correlation coefficient and normalized DTW value. by Claire Stevens (11127729)

Determination of p-values by permutation tests. by Sarah A. Johnson (11355817)

Values of all variables. by Zixun Li (19704604)

The 452 registrations of the 750 feature vectors after dimension reduction using the AI algorithm autoencoder, the 6 clusters obtained with the DBSCAN clustering algorithm are colo... by Gerhard Fritsch (405224)

Average production value and consumption value losses in all economic sectors for all forcing scenarios. by Nkongho Ayuketang Arreyndip (11785650)

Mean values for all subjects, and individual values for piano players and violin players. by Ai Kawasaki (12837051)

Original values for all graphs. by Bang Xiao (5794127)

All ICI p-values before and after adjustment. by Benjamin T. Newman (18397604)

“…In this study, several innovative cellular microstructural methods, as measured from magnetic resonance imaging (MRI), are combined to characterize differences between ASD and typically developing adolescent participants in a large cohort. We first examine the relationship between each metric, including microstructural measurements of axonal and intracellular diffusion and the T1w/T2w ratio. …”

All ECI p-values before and after adjustment. by Benjamin T. Newman (18397604)

“…In this study, several innovative cellular microstructural methods, as measured from magnetic resonance imaging (MRI), are combined to characterize differences between ASD and typically developing adolescent participants in a large cohort. We first examine the relationship between each metric, including microstructural measurements of axonal and intracellular diffusion and the T1w/T2w ratio. …”

All ICA p-values before and after adjustment. by Benjamin T. Newman (18397604)

“…In this study, several innovative cellular microstructural methods, as measured from magnetic resonance imaging (MRI), are combined to characterize differences between ASD and typically developing adolescent participants in a large cohort. We first examine the relationship between each metric, including microstructural measurements of axonal and intracellular diffusion and the T1w/T2w ratio. …”

Values for all experiments. by Anthony L. Gaeta (13272609)

Numerical values underlying all the figures. by Malgorzata Sobota (12369479)

Characteristics, ferritin values and outcome parameters over all patients and between patients with ferritin decrease and increase. by Cornelia Knaak (8885879)

“…<p>Characteristics, ferritin values and outcome parameters over all patients and between patients with ferritin decrease and increase.…”

Seven out of the 11 human cytidine deaminases are more highly expressed in tumor versus normal tissue and their higher expression is correlated with a decrease in survival. by Mason A. McCool (11889842)

“…All underlying numerical values for figure found in <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3002718#pbio.3002718.s020" target="_blank">S2 Data</a>.…”

Presentation 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip by Yan Cong (1491478)