The effects of different spacing allowances in the pullet phase on the eggshell and bone quality of hens in the laying phase
Bibliographic record
Abstract
Eggshell and bone quality were investigated at 72 wk of age (WOA) using Lohmann Brown and Dekalb White hens raised with a rearing spacing allowance (SA) of 247 and 299 cm2·bird−1 from days 0 to 16 before being transferred to a common SA (755 cm2·bird−1) for lay cycle. Eggshell thickness, breaking strength, along with tibia and femur weight, breaking strength, length, and ash were measured at 72 WOA. Strain and SA did not interact on any above parameter (P > 0.05). Hens reared in high SA during the pullet phase had heavier tibia and more femur ash, indicating rearing environment during the pullet phase influences the bone quality of hens in the late laying stage (P < 0.05).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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".