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Record W4320077820 · doi:10.58292/ct.v14.9296

Premature germ cells in the ejaculate of a 4-year-old male Labrador Retriever

2022· article· en· W4320077820 on OpenAlexaboutno aff
James E. Barrett, Jamie Douglas, Christopher Premanandan, Robyn R. Wilborn

Bibliographic record

VenueClinical Theriogenology · 2022
Typearticle
Languageen
FieldMedicine
TopicSperm and Testicular Function
Canadian institutionsnot available
Fundersnot available
KeywordsLabrador RetrieverEtiologySemenAndrologySpermCryopreservationGerm cellGermMedicineBiologyPhysiologyPathologyEmbryoCell biologyGenetics

Abstract

fetched live from OpenAlex

A healthy, 4-year-old, Labrador Retriever was presented for routine semen collection for cryopreservation. Ejaculate had an abundanceof atypical round cells along with substantial morphologically abnormal sperm. Atypical round cells were identified aspremature germ cells, indicating testicular insult or damage of unknown etiology. After multiple visits and a period (3 months) ofrest from heavy training, premature germ cells were not observed and noticeable improvement in sperm morphology was evident.Apparently, changes observed were induced by heat stress given the location and intensity of training, season of the year, historyand signalment of the patient, and the fact that all parameters improved following temperature management changes and restfrom training. This case illustrated the importance of recognizing an unusual cell type during a routine semen analysis and toarrive at a possible etiology and resolution of the clinical problem.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.111
Threshold uncertainty score0.998

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.040
GPT teacher head0.315
Teacher spread0.275 · 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.

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
Published2022
Admission routes1
Has abstractyes

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