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Record W4392281909 · doi:10.1139/cjas-2024-0004

Ammonium phosphate is a potential nitrogen supplement in nitrogen-limiting diets for growing pigs

2024· article· en· W4392281909 on OpenAlexafffundvenue
Miranda J. Buchinski, Carley M Camiré, O.O. Babatunde, Anna K. Shoveller, Daniel A Columbus

Bibliographic record

VenueCanadian Journal of Animal Science · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsGenome PrairieUniversity of GuelphUniversity of Saskatchewan
FundersGovernment of SaskatchewanMitacsMinistry of Agriculture - Saskatchewan
KeywordsLimitingNitrogenLysinePhosphateAnimal scienceAmmoniumChemistryFeed conversion ratioFood scienceBiologyBody weightBiochemistryAmino acidEndocrinology

Abstract

fetched live from OpenAlex

Reduced protein diets may be limiting in dietary nitrogen (N). The objective of this study was to determine the impact of non-protein nitrogen (NPN) inclusion and lysine content on growth performance of growing pigs. Pen-housed growing pigs were randomly assigned to one of six dietary treatments to test the impact of NPN inclusion and dietary lysine content for 28 days. NPN inclusion increased feed efficiency and lean depth ( P < 0.05). Final body weight increased with greater lysine ( P < 0.05) but was not impacted by NPN ( P > 0.05). Ammonium phosphate may be an appropriate N source in N-limiting diets for pigs.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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 integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.247
Teacher spread0.223 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2024
Admission routes3
Has abstractyes

Explore more

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