Radiated temperature of weaned piglets and the response to in-feed antibiotics with correction for ambient conditions
Bibliographic record
Abstract
Growth performance, health status, and the radiated thermal temperatures of groups of piglets consuming non-medicated feed and in-feed antibiotics (chlortetracycline hydrochloride and tiamulin) were monitored continuously for up to 35 d, from weaning at 28 d of age until moving to commercial pens at approximately 63 d of age. There was a trend (P = 0.1) for body weight at the time of moving to be higher for the medicated animals. The average daily gain was higher in medicated piglets (P = 0.03). Radiated temperature variables were the maximum (Tmax) and the average (Tmean) pig temperatures, and both were higher for the medicated piglets (P < 0.0001). A threshold temperature was derived to partition the image and derive the background radiated temperature that was used to obtain the expected radiated temperature of the pigs. Temperature data were adjusted for environmental effects by expressing the residual temperature. The residual for Tmax (TmaxRes) and for Tmean (TmeanRes) were higher in medicated piglets (P < 0.0001). In-feed antibiotics were associated with increased growth rates and with an increase in radiated temperature variables, particularly those corrected for environmental conditions, possibly mediated through increased metabolic activity related to growth.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".