Heart Rate Increase to Alcohol Administration and Video Lottery Terminal (VLT) Play Among Regular VLT Players.
Bibliographic record
Abstract
The authors examined heart rate responses to video lottery terminal (VLT) play and alcohol intake. Forty-four VLT players were randomized to an alcohol (mean blood alcohol concentration=0.06%) or a control beverage condition. Heart rate was recorded at pre- and postdrinking baseline and during VLT play. Alcohol participants displayed elevated heart rates relative to controls at postdrinking and VLT play. Controls displayed elevated heart rates during VLT play relative to both pre- and postdrinking baselines, whereas alcohol participants displayed elevations at post- relative to predrinking and at VLT play relative to postdrinking. Heart rate increases from predrinking to VLT play were greater among alcohol participants relative to controls. Results provide novel information that the combination of VLT play and alcohol further intensifies heart rate increase relative to either alone. Implications for pathological gambling and alcohol use disorder comorbidity are discussed.
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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 | 0.000 | 0.001 |
| 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) | 0.002 | 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".