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Record W2157024205 · doi:10.1080/08820130802191466

Promotion of Angiogenesis by Human Endometrial Lymphocytes

2008· review· en· W2157024205 on OpenAlexafffund
Caroline Dunk, Samantha D. Smith, Aleah Hazan, Wendy Whittle, Rebecca L. Jones

Bibliographic record

VenueImmunological Investigations · 2008
Typereview
Languageen
FieldImmunology and Microbiology
TopicReproductive System and Pregnancy
Canadian institutionsMount Sinai HospitalLunenfeld-Tanenbaum Research InstituteUniversity of TorontoWomen's College Hospital
FundersCanadian Institutes of Health Research
KeywordsAngiogenesisStromal cellEndometriumBiologyConceptusDeciduaImmunologyEndometriosisImmune systemInfertilityCancer researchCell biologyInternal medicinePregnancyEndocrinologyPlacentaMedicineFetusGenetics

Abstract

fetched live from OpenAlex

The human endometrium is a unique tissue that undergoes dramatic monthly remodeling during the menstrual cycle in preparation for an implanting conceptus. This remodeling involves sequential proliferation and differentiation of endometrial stromal and epithelial cells, coupled with extensive angiogenesis and infiltration of a specific specialized immune cell subset. Increasing evidence points to an essential role for these maternal leukocytes in stimulating the endometrial angiogenesis, and we propose that they also play a key role in the decidual vascular transformation. Aberrant endometrial angiogenesis, decidualisation and vascular transformation is thought to underlie many pathologies of pregnancy, from infertility to the development of preeclampsia and Intra Uterine Growth Restriction. In this chapter we review the cellular processes associated with each stage of endometrial and decidual transformation, detailing the role of the immune cell populations and the angiogenic and chemotactic factors secreted by them.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.123
GPT teacher head0.335
Teacher spread0.212 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations31
Published2008
Admission routes2
Has abstractyes

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