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Record W4288796562 · doi:10.26443/msurj.v15i1.13

Leukemia Inhibitory Factor (LIF) Modulation: a Novel, Non-Hormonal Contraceptive Method

2020· article· en· W4288796562 on OpenAlexaff
Hannah Dolin

Bibliographic record

VenueMcGill Science Undergraduate Research Journal · 2020
Typearticle
Languageen
FieldImmunology and Microbiology
TopicReproductive System and Pregnancy
Canadian institutionsMcGill University
Fundersnot available
KeywordsLeukemia inhibitory factorHormonePregnancyMedicineInhibitory postsynaptic potentialPhysiologyInternal medicineBiology

Abstract

fetched live from OpenAlex

Background: Numerous studies have demonstrated that Leukemia Inhibitory factor (LIF) plays an essential role in embryonic implantation. Vaginal application of pegylated LIF antagonists can successfully prevent implantation and pregnancy in mice. The development of non-hormonal, female-controlled contraceptives is imperative, as combined oral contraceptives are associated with depression and are not feasible for use in all women.Methods: This paper reviews 44 studies regarding LIF, implantation, hormonal contraceptives and the use of LIF antagonists as a means to inhibit pregnancy.Summary: Current research indicates that LIF-modulation could be effective as a non-hormonal contraceptive method, although researchers should be wary of the negative side effects associated with systemic LIF modulation. Vaginal application of LIF antagonists could decrease the risk of negative side effects.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.460
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0030.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.001

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 head0.103
GPT teacher head0.376
Teacher spread0.273 · 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 teacher head, not a consensus.

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

Citations1
Published2020
Admission routes1
Has abstractyes

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