Factors associated with in-transit losses of fattening pigs
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract In-transit losses (ITL) in fattening pigs refers to mortality occurring after having left the farm but prior to stunning at the abattoir. The purpose of this observational study was to identify the associations between environmental and truck temperatures, distances travelled, feed withdrawal, farm, transport company and abattoir and in-transit losses of fattening pigs marketed in Ontario, Canada from 2001 to 2004. A prospective study of 104 trips was conducted to determine temperatures inside the truck and identify the factors associated with this. In 2001, ITL was 0.017%, with 75% of producers losing < 5 pigs annually. In-transit losses increased between distances travelled of 590 to 720 km and decreased at distances greater than 980 km. The Pig Comfort Index, a combination of temperature and humidity, was used to identify thresholds of environmental conditions above which in-transit losses increased. The farm at which the pig was raised explained more variation of ITL (25%) than transport company (8%) or abattoir (16%). The within-farm ITL in 2003 had a positive association with those in 2001 and 2002. Withdrawing food prior to transport may decrease ITL on some farms. The temperature in truck compartments holding pigs increased by 0.99°C as the environmental temperature increased by 1°C and by 0.1°C as the relative humidity increased by 1%. Truck temperature decreased 0.06°C for each increase in driving speed of 10 km h −1 and increased by 7°C with an increase in pig density from one to 2.6 pigs per m 2 .
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it