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. …”

Process map (top) and Fault tree (bottom) produced from three failure modes in Table 6. by Mohammad Bakhtiari (11838264)

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

Map of the 20 study orchards. by Carmelo Gómez-Martínez (9384385)

Elevation map defining directions where mucus can be transported. by Monica E. Shapiro (22622240)

National Land Cover Database (NLCD) Tree Canopy Cover (TCC) Hawaii by U.S. Forest Service (17476914)

“…A small interannual change is defined as a TCC change less than an increase or decrease of 10 percent compared to a TCC baseline value. …”

Evolutionary tree analysis of ZmSTOMAGEN. by Juan-Juan Xu (18590868)

National Land Cover Database (NLCD) Tree Canopy Cover (TCC) Southeast Alaska by U.S. Forest Service (17476914)

“…The NCLD data are processed to remove small interannual changes from the annual TCC timeseries, and to mask TCC pixels that are known to be 0 percent TCC, non-tree agriculture, and water. …”

National Land Cover Database (NLCD) Tree Canopy Cover (TCC) Puerto Rico USVI by U.S. Forest Service (17476914)

“…The NCLD data are processed to remove small interannual changes from the annual TCC timeseries, and to mask TCC pixels that are known to be 0 percent TCC, non-tree agriculture, and water. …”

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

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

Interaction plot with 95% confidence intervals generated from the GAM regression model 1 in Table 2 examining initial ED SBP and management group interactions. by Randeep S. Jawa (20489181)

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)

Analysis of errors of the AI model on accuracy and decision times for different tasks during the retrospective reader study. (a) by Kerol Djoumessi (21349992)

Mean daily sediment transport (g m^-2 day^-1) under different vegetation types and soil cover in southeastern Utah, USA, 2004 to 2018. by Andrew Kulmatiski (833256)

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The variance explained in sediment transport increased with sample size, but sampling beyond roughly 500 data points provided diminishing improvements. by Andrew Kulmatiski (833256)

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Mean sediment transport (g m^-2 day^-1) by season (Spring, Summer, Winter). by Andrew Kulmatiski (833256)

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Study area (a), location of 52 sediment collection devices (b) and photograph of one of the collection devices in the field, western USA. by Andrew Kulmatiski (833256)

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Variables used to describe variation in sediment transport. by Andrew Kulmatiski (833256)

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Variable importance in Random Forest model of seasonal sediment transport with 1468 observations from 2009 to 2018. by Andrew Kulmatiski (833256)

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