The predictive utility of health preoccupations and outcome expectancies prior to benzodiazepine withdrawal
Bibliographic record
Abstract
Aim: The aim of this study was to examine the predictive utility of measuring health preoccupations and outcome expectancies prior to tapered benzodiazepine (BZD) withdrawal. Method: In an initial exploratory study, 44 adult participants (18–65) with a principal diagnosis of either anxiety or insomnia or both and wishing to discontinue BZD use were administered a Benzodiazepine Withdrawal Outcome Expectancy Scale (B-WOES) pre- and post-tapered withdrawal. Results: Two factors emerged from the health preoccupation section of the B-WOES: personal well-being and somatic concerns. A third subscale was derived from the section of the B-WOES measuring outcome expectancies if BZD were discontinued: an enhanced positive experience factor. A replication on a second independent sample of 38 adult participants (18–65) confirmed the three-factor structure. Conclusion: In the pooled data, the first two preoccupation subscales emerged as significant predictors of outcome following a tapered withdrawal program, so health preoccupations as well as outcome expectancies prior to discontinuation may impact on the discontinuation process.
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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 | 0.001 | 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) | 0.000 | 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 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".