Effect of feeding rate of milk replacer with early weaning and protocols for water treatment and sanitation on dairy calf growth and health
Bibliographic record
Abstract
Forty-eight Holstein calves (12 per treatment) were fed 2 rates of the milk replacer (MR; 27% CP, 17% fat powder) with 2 water treatment and sanitation protocols. The protocols were 0 (using 500 mg/L sodium hyperchlorite wash water) or 5 mg/L of chlorine dioxide (using 50 mg/L chlorine dioxide wash water). The MR rates were either 0.66 kg (MOD) or up to 1.1 kg (HI) of DM daily divided into 2 equal meals fed at 0630 and 1600 h daily. Calves fed MOD received 0.66 kg of DM from d 1 to 25, then 0.33 kg of DM in only the a.m. feeding from d 26 to 28. Calves fed HI received 0.79 kg of DM from d 1 to 7, 1.1 kg of DM from d 8 to 21, 0.66 kg of DM from d 22 to 25, and 0.33 kg of DM in the a.m. only from d 26 to 28. Free−choice starter (20% CP) and water was fed from d 1 to 56. Calves were initially 2 to 4 d of age and 47 ± 1.2 kg. The 2 MR rates and 2 water treatments were analyzed as a 2 × 2 factorial arrangement in a completely randomized design with repeated measures. Cryptosporidium was the predominate organism found in the fecal samples. There was no effect of sanitation protocol on performance or health of calves. Calves fed HI MR had 18% greater ADG and more medical days over the 56-d trial than calves fed MOD MR, whereas there was no difference in hip width change.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".