Postmenopausal Hormone Use and Secondary Prevention of Coronary Events in the Nurses’ Health Study
Bibliographic record
Abstract
The present study examined the nature and impact of participant goal selection (abstinence versus moderation) in brief motivational treatment for pathological gambling via secondary analyses from a randomized controlled trial. The results demonstrated that the pattern of goal selection over time could be characterized by both fluidity and stability, whereby almost half of participants switched their goal at least one time, over 25% of participants selected an unchanging goal of 'quit most problematic type of gambling', almost 20% selected an unchanging goal of 'quit all types of gambling', and approximately 10% selected an unchanging goal of 'gamble in a controlled manner.' The results also demonstrated that pretreatment goal selection was uniquely associated with three variables, whereby compared to participants who selected the goal to 'cut back on problem gambling', those who selected the goal to 'quit problem gambling' were more likely to have greater gambling problem severity, to have identified video lottery terminal play as problematic, and to have greater motivation to overcome their gambling problem. Finally, the results demonstrated that goal selection over time had an impact on the average number of days gambled over the course of treatment, whereby those with abstinence-based goals gambled significantly fewer days than those with moderation-based goals. Nevertheless, goal selection over time was not related to dollars gambled, dollars per day gambled, or perceived goal achievement. The findings do not support the contention that abstinence-based goals are more advantageous than moderation goals and are discussed in relation to the broader alcohol treatment literature.
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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) | 0.001 | 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".