The effects of Bambusae Caulis and St. John's Wort in the chronic mild stress model of depression in rats
Bibliographic record
Abstract
Objective : This study was designed to assess the protective effects of Bambusae caulis and St. John's Wort on the animal model of depression, induced by chronic mild stress(CMS) Method : Male Wistar rats were used for this experiment. The subjects were divided into 4 groups ( 1. CMS-drugs: Bambusae caulis administered during CMS treatment, 2. CMS-drugs: St. John's Wort administered during CMS treatment, 3. CMS-vehicle: Water administered during CMS treatment, 4. normal control group without CMS treatment ). After 3 weeks of CMS treatment, they were executed open field test and weight, sucrose intake were measured. Result : 1. CMS Bambusae caulis group showed significant difference of locomotor activities and marginal difference of start latency in comparison with other groups in open field test. 2. There was no change of weights between CMS Bambusae caulis, St. John's Wort groups and CMS control group. 3. CMS St. John's Wort group showed upper level of sucrose intake than CMS Bambusae caulis group and CMS control group. Conclusion : These results suggest that Bambusae caulis may have protective antidepressant effects in CMS model rats. And these effects could be explained by the elevated locomotor activities in open field test.
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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 | 0.000 |
| 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 | 0.001 |
| 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 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".