Treatment of Pathological Gambling: A Critical Review of the Literature.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The legalization and availability of new forms of gambling are increasing in most Western countries. This trend has contributed to the fact that more individuals are developing gambling problems. As a result, there is a need for effective treatments. Although gambling treatment dates several decades, few empirically supported treatments for pathological gambling have been developed. This critical review includes only controlled treatment studies. The primary inclusion criterion was randomization of participants to an experimental group and to at least 1 control group. Eleven studies were identified and evaluated. Key findings showed that cognitive-behavioral studies received the best empirical support. Recommendations to improve gambling treatment research include better validated psychometric measures, inclusion of process measures, better definition of outcomes, and more precise definition of treatments.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it