Bibliographic record
Abstract
BACKGROUND: There are no unanimous standpoints about the dorsal motor nucleus of the vagus (DMV) and nucleus of solitary tract (NTS) involving in the regulation of gastric motility up to now. METHODS: In this study, we injected L-Glutamate (L-Glu), an incitant neurotransmitter in the central neural system, into DMV and NTS to further investigate the effects of the two nuclei on gastric motility. A latex balloon connected with a pressure transducer was inserted into the pylorus through the fundus for continuous recording of the change of gastric smooth muscle contractile curves. RESULTS: L-Glu (10 nmol in 0.1 µl) microinjected into right DMV and NTS significantly inhibited gastric motility. We compared the effects of L-Glu (10 nmol) microinjected into the two nuclei, the L-Glu microinjected into right NTS had the greater inhibitory effect on gastric motility than microinjected into the right DMV. The physiological saline microinjection evoked no significant effect on gastric motility. CONCLUSIONS: L-Glu microinjected into right DMV and NTS evoked significant inhibition on gastric motility in rats. At equal dose of L-Glu, NTS had the greater inhibitory effect than DMV.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".