MétaCan
Menu
Back to cohort
Record W2123781132 · doi:10.3382/ps.2013-03057

Growth of subcutaneous chicken testicular transplants

2013· article· en· W2123781132 on OpenAlexaff
F.G. Silversides, M.C. Robertson, Jiangui Liu

Bibliographic record

VenuePoultry Science · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAnimal Genetics and Reproduction
Canadian institutionsUniversity of British ColumbiaAgriculture and Agri-Food Canada
Fundersnot available
KeywordsCryopreservationTransplantationImmunosuppressionCastrationTunicaBiologyAndrologyMedicineSurgeryEmbryoAnatomyEndocrinologyImmunologyCell biology

Abstract

fetched live from OpenAlex

Avian genetic resources have declined dramatically over the past half century, partly because the poultry community has been slow to adopt cryoconservation of avian germplasm. Techniques for gonadal cryopreservation and functional recovery have recently been developed but only some have been optimized. Chicks were castrated at 2 or 6 d and testicles were autotransplanted subcutaneously in one piece after disruption of the tunica membranes to optimize transplantation procedures without the complication of tissue rejection or immunosuppression. At 22 wk of age, the roosters were euthanized and growth of the testicular tissue was evaluated. Mortality with castration at 2 d was high but was much reduced with castration at 6 d. Transplantation of whole testicles subcutaneously on the back of chicks, without complete removal of the tunica membranes, yielded good growth of tissue with transplantation at 2 or 6 d of age. These results will contribute to the use of testicular cryopreservation and transplantation as an effective conservation strategy for avian germplasm. Further definition of the age of treatment will improve the overall efficiency.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.005
GPT teacher head0.207
Teacher spread0.202 · 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 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

Citations6
Published2013
Admission routes1
Has abstractno

Explore more

Same venuePoultry ScienceSame topicAnimal Genetics and ReproductionFrench-language works237,207