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Record W4385497385 · doi:10.31080/asvs.2023.05.0716

Effect of Spirulina and Coenzyme Q-10 Addition to Extenders on Canine Spermiogram

2023· article· en· W4385497385 on OpenAlexaboutno aff
SM Gaikwad, K Rao, SU Gulavan, R.J. Chaudhari, Sandip Rahangdale, Aniket Borkar, A Nimaria

Bibliographic record

VenueActa Scientific Veterinary Sciences · 2023
Typearticle
Languageen
FieldMedicine
TopicSperm and Testicular Function
Canadian institutionsnot available
Fundersnot available
KeywordsSpirulina (dietary supplement)ChemistryAnimal scienceFood scienceBiology

Abstract

fetched live from OpenAlex

The present study was aimed to determine the effect of addition of antioxidants to semen extender on Labrador dog semen preserved at 4C.The semen was evaluated for volume, colour and concentration, and extended with tris-egg yolk-citric acid containing Spirulina at 10 g/ml (SP), Coenzyme Q-10 at 0.5 (CO) Mol/ml, a combination extender with 10 g/ml Spirulina and 0.5 Mol/ml Coenzyme Q-10 (SC) and no antioxidant (CON).The extended semen was evaluated for acrosomal integrity, mitochondrial activity and lipid peroxidation assay at 0, 24, 48 and 72 hours.It was observed that, up to 24 hours there was no significant difference between the antioxidants' and control groups.However, at 48 and 72 hours, the addition of antioxidants showed better spermiogram compared to control group, and the combination of antioxidants showed better results when compared to individual antioxidants at 48 and 72 hours.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.683
Threshold uncertainty score0.385

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
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 head0.046
GPT teacher head0.338
Teacher spread0.292 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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