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Record W2003940793 · doi:10.1159/000243538

Carcass Composition and Resistance to Fasting in Neonatal Piglets Born of Sows Immunized against Somatostatin and/or Receiving Growth Hormone-Releasing Factor Injections during Gestation

2009· article· en· W2003940793 on OpenAlexaff
C. Farmer, D. Petitclerc, G. Pelletier, Pierrette Gaudreau, Paul Brazeau

Bibliographic record

VenueBiology of the Neonate · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEffects of Environmental Stressors on Livestock
Canadian institutionsUniversité de MontréalHôpital Notre-DameYorkville UniversityAgriculture and Agri-Food Canada
Fundersnot available
KeywordsSomatostatinGestationMedicineEndocrinologyHormoneGrowth hormoneInternal medicineComposition (language)PregnancyBiologyPhysiology

Abstract

fetched live from OpenAlex

Thirty-eight gestating sows were either immunized against somatostatin (SRIF) and/or injected with growth hormone-releasing factor (GRF). Treatment effects on carcass composition and resistance of newborn piglets to a 60-hour fast were investigated. Protein content of carcasses at birth was increased in piglets of sows receiving GRF or immunized against SRIF, however, when sows received both treatments there was a reduction in carcass protein content (p = 0.01). Other carcass components were unaltered by treatments, and none of the treatments affected metabolic or endocrine profiles of piglets at birth. Concentrations of GH, IGF-I (p less than 0.01), glucagon and cortisol (p less than 0.05) increased linearly with duration of fast, whereas glucose values decreased. Resistance to fasting was unaltered in piglets from any treatment thereby suggesting that exogenous GRF and/or SRIF immunization of sows during gestation are unlikely to improve survival of newborn piglets.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.931
Threshold uncertainty score0.191

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.009
GPT teacher head0.218
Teacher spread0.208 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations10
Published2009
Admission routes1
Has abstractyes

Explore more

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