Bibliographic record
Abstract
The objective of this thesis was to evaluate the effects of altering the forage-to-concentrate ratio (F:C) of the diets fed prior-to and during a period of severe short-term feed restriction (FR) and the dietary F:C following FR on ruminal fermentation and short-chain fatty acid (SCFA) absorption. Twenty ruminally cannulated Angus × Hereford heifers were fed ad libitum either a high-forage diet (HF) with a F:C of 92:8 or a moderate-forage diet (MF) with a F:C of 60:40 during a 5-d baseline period (BASE), followed by 5-d of FR at 25 % of their ad libitum intake (collectively represented as PRE). After exposure to FR, heifers were provided feed for ad libitum intake and the recovery was monitored for 3 consecutive weeks (REC1, REC2 and REC3; collectively denoted as POST), with one half of the HF and MF heifers remaining on the same diet, and the other half switched to the alternative diet. Dry matter intake (DMI) was measured daily and ruminal pH was recorded every 2 min. Ruminal fluid was collected on d 3 of BASE and FR, and on d 5 of each REC week. Ruminal SCFA absorption was assessed in vivo using the isolated washed reticulo-rumen technique on d 5 of BASE and FR and on d 7 of REC1 and REC3. Data were analyzed as a complete randomized block design to
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.769 | 0.609 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".