Contextual insights from large language models in ambulatory assessment: Differential reactivity of affect and self-esteem to daily events in borderline personality disorder.

Authors

Institutions

Publication Details

Journal
Journal of Psychopathology and Clinical Science
Published
2026-07-27
DOI
https://doi.org/10.1037/abn0001143
Primary Topic
Personality Disorders and Psychopathology
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Contextual insights from large language models in ambulatory assessment: Differential reactivity of affect and self-esteem to daily events in borderline personality disorder.

Philip Santangelo, Tobias D. Kockler, David Levi Tekampe, Angélica Mendes et al.
Journal of Psychopathology and Clinical Science
Personality Disorders and Psychopathology
article

Contextual insights from large language models in ambulatory assessment: Differential reactivity of affect and self-esteem to daily events in borderline personality disorder.

Philip Santangelo, Tobias D. Kockler, David Levi Tekampe, Angélica Mendes, Ulrich Ebner-Priemer, Martin Bohus
article en

Abstract

No abstract available for this paper.
Journal of Psychopathology and Clinical Science
Karlsruhe Institute of Technology (DE), University of Luxembourg (LU), Heidelberg University (DE), University Hospital Heidelberg (DE), Central Institute of Mental Health (DE)
Deutsche Forschungsgemeinschaft
Quality Education
Openalex Percentile: Top 6%
Personality Disorders and Psychopathology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.