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Record W3092264741 · doi:10.1530/biosciprocs.14.001

Follicle–oocyte–sperminteractions <i>in vivo</i> and <i>in vitro</i> in pigs

2020· article· en· W3092264741 on OpenAlexaff
Marc‐André Sirard, A. Dubuc, Digbo Bolamba, Yuehui Zheng, Karine Coenen

Bibliographic record

VenueBioscientifica Proceedings · 2020
Typearticle
Languageen
FieldMedicine
TopicReproductive Biology and Fertility
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPolyspermyOviductOocyteAndrologyHuman fertilizationIn vitroBiologyIn vitro maturationCell biologyIn vivoFollicular phaseInseminationIn vitro fertilisationEmbryoSpermAnatomyEndocrinologyMedicineGenetics

Abstract

fetched live from OpenAlex

In vitro culture has provided new information on the mechanisms involved in fertilization where two completely different cells fuse together.At the same time, results obtained in vitro have led to new questions.Does the follicle influence the final maturation process of the oocyte and does the oviduct regulate the normal behaviour of spermatozoa?Recent studies indicate a critical influence of both the follicular compartment and the oviduct on the normal fertilization process.Oocytes matured in vivo are more competent to induce pronuclear formation, but are still susceptible to polyspermy.Oocytes matured in vitro can develop fully after fertilization, but require the presence of follicular factors during culture to enhance their developmental competence.Fresh or frozen spermatozoa can penetrate oocytes in vitro, but their conditioning by differential centrifugation or oviductal cells influences the rate of polyspermy.The understanding of these influences is a prerequisite to enhancing in vitro production of pig embryos.

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)0.000
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
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
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 head0.030
GPT teacher head0.273
Teacher spread0.243 · 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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Same venueBioscientifica ProceedingsSame topicReproductive Biology and FertilityFrench-language works237,207