| Semantic measures: Using natural language processing to measure, differentiate, and describe psychological constructs. ONE Kjell, K Kjell, D Garcia, S Sikström Psychological Methods 24 (1), 92, 2019 | 155 | 2019 |
| Natural language analyzed with AI-based transformers predict traditional subjective well-being measures approaching the theoretical upper limits in accuracy ONE Kjell, S Sikström, K Kjell, HA Schwartz Scientific reports 12 (1), 3918, 2022 | 67 | 2022 |
| Beyond rating scales: With targeted evaluation, large language models are poised for psychological assessment ONE Kjell, K Kjell, HA Schwartz Psychiatry Research 333, 115667, 2024 | 31 | 2024 |
| Freely generated word responses analyzed with artificial intelligence predict self-reported symptoms of depression, anxiety, and worry K Kjell, P Johnsson, S Sikström Frontiers in Psychology 12, 602581, 2021 | 28 | 2021 |
| SemanticExcel. com: an online software for statistical analyses of text data based on natural language processing S Sikström, ONE Kjell, K Kjell Statistical semantics: Methods and applications, 87-103, 2020 | 16 | 2020 |
| A longer interstimulus interval yields better learning in adults and young adolescents K Kjell, K Löwgren, A Rasmussen Frontiers in Behavioral Neuroscience 12, 299, 2018 | 9 | 2018 |
| Semantic similarity scales: using semantic similarity scales to measure depression and worry ONE Kjell, K Kjell, D Garcia, S Sikström Statistical semantics: Methods and applications, 53-72, 2020 | 8 | 2020 |
| Semantic excel: An introduction to a user-friendly online software application for statistical analyses of text data S Sikström, O Kjell, K Kjell OSF, 2018 | 8 | 2018 |
| AI-based large language models are ready to transform psychological health assessment ONE Kjell, K Kjell, HA Schwartz Preprint at https://doi. org/10.31234/osf. io/yfd8g, 2023 | 6 | 2023 |
| Natural language analyzed with ai-based transformers predict traditional well-being measures approaching the theoretical upper limits in accuracy O Kjell, S Sikström, K Kjell, HA Schwartz PsyArXiv, 2021 | 6 | 2021 |
| Prediction and semantic trained scales: Examining the relationship between semantic responses to depression and worry and the corresponding rating scales ONE Kjell, K Kjell, D Garcia, S Sikström Statistical semantics: Methods and applications, 73-86, 2020 | 6 | 2020 |
| Beyond rating scales: With care for validation large language models are poised to change psychological assessment O Kjell, K Kjell, HA Schwartz PsyArXiv, 2023 | 5 | 2023 |
| The LEADING Guideline: Reporting Standards for Expert Panel, Best-Estimate Diagnosis, and Longitudinal Expert All Data (LEAD) Studies VC Eijsbroek, K Kjell, HA Schwartz, JR Boehnke, EI Fried, DN Klein, ... medRxiv, 2024 | 2 | 2024 |
| Natural Language Response Formats for Assessing Depression and Worry with Large Language Models: A Sequential Evaluation with Model Pre-registration Z Gu, K Kjell, HA Schwartz, O Kjell Retrieved July, 2024 | 2 | 2024 |
| The ability to maintain rhythm is predictive of ADHD diagnosis and profile P Gustafsson, K Kjell, M Cundari, M Larsson, J Edbladh, G Madison, ... BMC psychiatry 23 (1), 920, 2023 | 2 | 2023 |
| Explaining GPT-4's Schema of Depression Using Machine Behavior Analysis AV Ganesan, V Varadarajan, YK Lal, VC Eijsbroek, K Kjell, ONE Kjell, ... arXiv preprint arXiv:2411.13800, 2024 | | 2024 |
| Natural Language Response Formats for Assessing Depression Z Gu, K Kjell, O Kjell | | 2023 |
| Method for determining a representation of a subjective state of an individual with vectorial semantic approach O Kjell, S Sikström, K Kjell US Patent App. 17/040,697, 2021 | | 2021 |
| Natural Language Response Formats for Assessing Depression and Worry with Large Language Models: A Sequential Evaluation with Model Pre-registration K Kjell, HA Schwartz, O Kjell OSF, 0 | | |
