Bibliographic record
Abstract
Newborn piglets are most vulnerable to postnatal stressors, such as competition for energy intake, crushing by the sow, and hypothermia, leading to the persistently high pre-weaning mortality rate that is currently seen in the industry. The present chapter describes the developmental and physiological factors that impact the vitality of neonatal piglets. Experiences in utero, such as placental blood flow and nutrient supply, are of great importance and can be influenced by external factors. Low birth weight constitutes a high risk for mortality and is exacerbated in piglets also showing intra-uterine growth retardation or hypoxia at birth. It has long been recognized that piglets are physiologically immature at birth. They have very low energy stores and poor immune protection. Some nutritional and hormonal treatments can be used to alleviate these problems, such as feeding fish oils or providing phytoestrogens to late-pregnant sows, yet no treatment has proved infallible. Piglets also have very little body fat and have a great surface to body mass ratio which makes them highly susceptible to hypothermia. The lower critical temperature of piglets is much higher than that of sows and this must be taken into account in the farrowing environment. Furthermore, intake of colostral immunoglobulins is essential for piglets to acquire systemic immunity, hence, any attempt to maximize this transfer should prove beneficial.
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.
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 | 0.000 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.007 |
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".