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Record W2556134488 · doi:10.20286/jmbs-050304

Influence of age and sex on certain serum biochemical parameters of dromedary camels

2016· article· en· W2556134488 on OpenAlexvenueno aff
Nawal Mohamed Elkhair

Bibliographic record

VenueNova Journal of Medical and Biological Sciences · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Diversity and Health Studies
Canadian institutionsnot available
Fundersnot available
KeywordsReference rangeQuartileAge groupsPercentileReference valuesAlbuminSerum albuminMedicinePhysiologyBiologyAnimal scienceEndocrinologyInternal medicineDemographyConfidence interval

Abstract

fetched live from OpenAlex

Background: The identification of the reference values of certain serum biochemical parameters in relation to the age was studied in dromedary camels.Methods: Fourteen healthy young camels (age: 3-5 months), 12 adult male and 10 female camels (age: 5-8 years) were used. Venous blood samples were collected for the determination of certain serum parameters.Results: The reference range ( ± s×1.96) of serum- [Na+] was 142-160 mmol/l and the percentile range (median (1. - 3.Quartile)) was 143-156 mmol/l for all age groups. The reference values of serum- [K+] showed a significant (P<0.05) variation between the age groups being higher the young camels (4.2-7.4 mmol/l) compared to the adult groups (3.7-5.5 mmol/l). Serum- [Protein] and serum- [Albumin] showed significant (P<0.05) differences between the age groups. Significantly higher (P<0.05) reference range of 51-74 g/l and a percentile range of 59-67.7 g/l was observed in the adult female camels compared to young and adult male groups.Conclusion: These reference values are useful in detecting the influence of strong electrolytes such as Na+, K+ and Cl- and weak acids (proteins) on the physiological and pathological status of the camels in relation to their age.Keywords: Camels, age, electrolyte concentrations, total protein, albumin, reference values.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.496
Threshold uncertainty score0.828

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.094
GPT teacher head0.297
Teacher spread0.203 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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