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Record W1845880878 · doi:10.4141/cjas2013-190

Performance and bone characteristics of growing pigs fed diets marginally deficient in available phosphorus and a novel microbial phytase

2014· article· en· W1845880878 on OpenAlexvenueno aff
Tiago Tedeschi dos Santos, C.L. Walk, P. Wilcock, G. Cordero, J. J. Chewning

Bibliographic record

VenueCanadian Journal of Animal Science · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsnot available
Fundersnot available
KeywordsPhytaseBone ashAnimal sciencePhosphorusBreaking strengthChemistryWeight gainNegative controlBody weightInternal medicineEndocrinologyBiologyMedicineMaterials science

Abstract

fetched live from OpenAlex

Santos, T. T., Walk, C. L., Wilcock, P., Cordero, G. and Chewning, J. 2014. Performance and bone characteristics of growing pigs fed diets marginally deficient in available phosphorus and a novel microbial phytase. Can. J. Anim. Sci. 94: 493–497. The efficacy of a novel microbial 6-phytase on pig performance, bone breaking strength, and bone ash was evaluated. Pigs were allotted to one of six diets with 12 replicate pens/treatment and five pigs/pen. Diets consisted of a positive control (PC), negative control (NC) 1 with Ca and available phosphorus (avP) reduction by 0.11 and 0.10%, NC 1 plus 250 FTU kg−1 phytase, NC 2 with Ca and avP reduction by 0.16 and 0.15%, NC 2 plus 500 and 2,000 FTU kg−1 phytase. On day 43, one pig per pen was euthanized and the 4th metacarpal was obtained to determine bone parameters. Average daily gain (ADG) was higher (P<0.05) in pigs fed NC 2 plus 500 or 2000 FTU kg−1 compared with PC. NC 2 with 2000 FTU kg−1 improved (P<0.05) G:F compared with PC. NC 1 or NC 2 had reduced (P<0.05) bone ash weight and NC 2 had reduced (P<0.05) bone breaking strength compared with PC. Phytase supplementation in NC 1 or NC 2 improved bone ash weight compared with PC. Bone breaking strength or bone ash weight was more sensitive to low dietary Ca and avP than bone ash percent. Phytase supplementation at 2000 FTU kg−1 improved G:F beyond that of the PC.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.952
Threshold uncertainty score0.203

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.014
GPT teacher head0.188
Teacher spread0.174 · 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 designObservational
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

Citations28
Published2014
Admission routes1
Has abstractyes

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