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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.014 | 0.007 |
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 source (direct Gemma or distilled Codex), 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".