Cognitive-Behavioral Treatment for Generalized Anxiety Disorder: From Science to Practice
Bibliographic record
Abstract
The second edition of Cognitive Behavioral Treatment for Generalized Anxiety Disorder is an essential read for all clinicians, researchers, and anyone who wants to learn about how cognitive behavioral therapy (CBT) can be applied to treatment for generalized anxiety disorder. Building on the idea that intolerance of uncertainty keeps people with generalized anxiety disorder (GAD) stuck in repeated cycles of excessive worry, anxiety, and avoidance, this revised and updated edition lays out the essentials of GAD assessment and diagnosis, step-by-step illustrations of CBT treatment, and questionnaires and monitoring forms that can be used in assessment, treatment, and research. Readerswill come away from the book with a clear sense of how to: design powerful, individualized behavioral experiments targeting the fear of uncertainty; help clients discover and re-evaluate their beliefs about the usefulness of worry; encourage clients to view worry-provoking problems as challenges to be met, rather than threats; use written exposure to help clients confront lingering worries and core fears
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".