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Record W2299249255 · doi:10.1542/neo.17-2-e93

Promotion of Early Pregnancy Events in Mice and Humans by Uterine Natural Killer Cells

2016· article· en· W2299249255 on OpenAlexaff
Allison M. Felker, B. Anne Croy

Bibliographic record

VenueNeoReviews · 2016
Typearticle
Languageen
FieldImmunology and Microbiology
TopicReproductive System and Pregnancy
Canadian institutionsQueen's University
Fundersnot available
KeywordsConceptusPlacentationDecidualizationImmune systemImmunologyBlastocystPregnancyUterusNatural killer cellReproductive immunologyMedicineLymphocyteDeciduaPerforinBiologyFetusEmbryoCell biologyPlacentaInternal medicineGeneticsEmbryogenesisLactationCytotoxic T cell

Abstract

fetched live from OpenAlex

Mammalian pregnancy is a unique immunologic situation in which the maternal immune system recognizes and accepts an antigenically disparate tissue, the conceptus. Currently, our understanding of human peri-implantation and early gestational events is largely based on animal studies, particularly mice. Although immune cells are present in the uterus before conception or blastocyst implantation, huge increases in immune cell numbers and the differentiation of specialized lymphocyte subsets are induced in species with hemochorial placentation during the process of decidualization.

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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0020.001

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 head0.016
GPT teacher head0.264
Teacher spread0.248 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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