No rest for the stimmed: energy from caffeine or caffeine et al.?
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
Background The purpose of this study was to assess the effectiveness of an energy drink vs. a caffeine-matched control on mental and physical performance.Methods Using a randomized, double-blind design (n = 62), subjects were assigned to an energy drink (Ghost®) or a caffeine-matched control (200 mg caffeine). The following assessments were conducted before and approximately 45 minutes after consuming an energy drink or caffeine-matched control: psychomotor vigilance test (PVT), CNS Tap Test, handgrip strength, and POMS.Results Table 1 shows the subject demographics. There were no significant differences between the treatment and control for any of the assessments. Both groups improved in the total mood disturbance score; in addition, treatment improved in the CNS Tap Test. However, there were no between-group differences for any of the other assessments.Conclusions Consuming the energy drink or caffeine-matched control resulted in an improvement in the total mood disturbance. In addition, consuming the energy drink significantly improved the CNS Tap Test score. However, there were no between-group differences for any of the measures. Thus, it is ostensible that any effect of an energy drink is likely due primarily to caffeine itself.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it