Chronic Inhibition of the Sympathetic Nervous System with Guanethidine: Effects on Body and Organ Weights and Food Intake of Chicks Given a Phenylalanine Excess Diet
Bibliographic record
Abstract
Bungo, T., Choi, Y.-H. and Furuse, M. 2001. Chronic inhibition of the sympathetic nervous system with guanethidine: Effects on body and organ weights and food intake of chicks given a phenylalanine excess diet. J. Appl. Anim. Res., 19: 97–106. To investigate the effect of chronic inhibition of the sympathetic nervous system on food intake in the chicken, guanethidine (GTD, 0 or 50 mg/kg body weight/d), an adrenergic blocker, was subcutaneously administered to chicks for 4 weeks starting at 10 days of age in experiment 1. Chronic GTD decreased body weight gain and brain weight, but not heart and adrenal gland weights. In the second experiment, effects of chronic GTD and dietary excess phenylalanine (Phe) on daily food, intake were investigated at one week interval for 4 weeks. At each week, food intake was determined at 1, 2, 4, 6, 12 and 24 h after feeding. Significant dietary effects of excess Phe were found at several times in every week, but chronic GTD administration did not alter intake of Phe excess diet. Main effect of GTD could be detected until 2 weeks of feeding. A significant interaction between GTD and Phe treatments was detected in some times determined until 3 weeks of feeding, implied that effects of excess Phe improved by GTD. At a final week, dietary excess Phe decreased food intake, but the effect of GTD disappeared. It is possible that the anorexia by excess Phe may be affected by sympathectomy in an early week of age.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".