GAD: Development of Intolerance of Uncertainty Model and Contrast Avoidance Model
Bibliographic record
Abstract
Generalized Anxiety Disorder (GAD) is a mental disorder characterized by extreme and uncontrollable worry. Current studies emphasize the importance of the Contrast Avoidance Model (CAM) and the Intolerance of Uncertainty Model (IUM) in comprehending GAD. The reliability of IUM is supported by empirical evidence that Intolerance of Uncertainty (IU) has a direct impact on worry. Although long-term strategies are required, Cognitive Behavioural Therapy for IU (CBT-IU) has demonstrated promise in reducing symptoms of both IU and GAD. Attachment styles play a crucial role, with IU mediating the influence of early experiences on GAD. In the IUM framework, pathways involving Positive Beliefs about Worry (PBW) and Negative Problem Orientation (NPO) have been delineated. CAM predicts GAD independently of IU and exhibits distinct effects on fear and sadness. The impact of Contrast Avoidance (CA) in worry is proved by prior studies. Future studies can draw attention to the association between CA and other variables.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".