Bibliographic record
Abstract
In commercial nutrition and in research studies, metabolizable energy (ME) is the standard measure of energy used in describing energy requirements and diets for poultry. The provision of dietary energy will influence the intake of all other nutrients. Broilers exhibit an outstanding ability to control their energy intake by adjusting their feed intake as diet energy concentration changes. There is still considerable debate on the accuracy, precision and usefulness of different procedures used for determining ME values of diets and ingredients. ME intake is generally partitioned into energy retained (ER) in body tissues (mainly as fat and protein) and as heat production (HP): ME = HP + ER. There are few reported estimates of HP and its components, fasting heat production (FHP), heat production due to physical activity and the thermic effect of feeding (TEF). Requirements for maintenance (MEm), including major components of FHP and physical activity, are established at around 155 kcal kg BW0.60. We recentlyreported that maintenance requirements for young broilers based on kg BW0.75 were 8% lower than the values estimated using kg BW0.60, and that BW raised to the exponent 0.60, was a more precise estimator. Gross energy retained in the body as fat (TERF) and protein (TERP), together contribute most of the total energy retained (TER) in the body. Efficiency of ME utilization above maintenance varies from 70 to 84% for lipid deposition in adult birds and between 37 and 85% in growing birds. Key words: Energy, broiler, metabolic rate, energy retention
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".