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Record W7063999384

Alpaca embryo transfer on a private Canadian farm

2018· article· en· W7063999384 on OpenAlexaboutno aff

Bibliographic record

VenueEurope PMC (PubMed Central) · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsEmbryo transferCorpus luteumEmbryoCloprostenolPregnancyFollicle
DOInot available

Abstract

fetched live from OpenAlex

This study evaluated the feasibility of using an embryo transfer protocol in an alpaca farm in Canada. Alpaca donors and recipients were synchronized with 2 doses of gonadotrophin-releasing hormone (GnRH), 12 days apart. In donors (n = 5), superstimulation was induced with follicle stimulating hormone (FSH) given daily (40 mg) for 5 days beginning 2 days after the second GnRH treatment. Cloprostenol was given on the last day of FSH, the donors were bred 2 days later, embryos were collected 7 days after breeding. In recipients (n = 8), the second dose of GnRH was given the day before donor mating, and embryos were transferred on the day of donor collection. On average (± SEM), 5.2 ± 1.4 corpora lutea were detected and 2.5 ± 1.2 transferable embryos were collected in the donors. A mature corpus luteum was detected in 6/8 synchronized recipients and a single embryo was transferred to each. One recipient alpaca became pregnant and delivered a healthy baby 349 days after embryo transfer. This is the first report of successful embryo transfer in alpacas in Canada.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.690
Threshold uncertainty score0.617

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.222
Teacher spread0.208 · 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 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

Citations3
Published2018
Admission routes1
Has abstractyes

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