TRIENNIAL GROWTH SYMPOSIUM: Dietary regulation of growth and development1
Bibliographic record
Abstract
The 2010 Triennial Growth Symposium was held immediately before the Joint Annual Meeting of the American Society of Animal Science, American Dairy Science Association, Poultry Science Association, Asociación Mexicana de Producción Animal, Canadian Society of Animal Science, and the Western Section of the American Society of Animal Science in Denver, Colorado, in July 2010. The intent of the symposium was to identify and explore some new findings on the nutritional regulation of growth and development of domestic animals. Nutrition has a profound impact on the developing animal. The symposium program committee decided it was time for an update on recent advances in this area. Crenshaw et al. (2011) began the symposium by reviewing recent developments in skeletal growth and development. Fibroblast growth factor 23 (FGF23), discovered in the last decade, is involved in a pathway for P homeostasis. An endocrine function of bone itself is described, producing FGF23, which then acts on renal tissues independent of the well known pathways involved in Ca homeostasis. The hormone downregulates P transporters to decrease renal absorption, in addition to downregulating enzymes involved in the conversion of vitamin D. Seminal papers are discussed showing the effects of recombinant FGF23 and FGF23 gene ablation in mice. It is emphasized that applications from understanding the role of FGF23 should lead to strategies for improving the efficiency of P use for skeletal growth and development.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.025 | 0.010 |
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".