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Record W4254365840 · doi:10.14789/jmj.62.483

Abstracts for 2015th Annual Poster Presentation (Research Institute for Diseases of Old Age)

2016· article· en· W4254365840 on OpenAlexaff

Bibliographic record

VenueJuntendo Medical Journal · 2016
Typearticle
Languageen
FieldMedicine
TopicGDF15 and Related Biomarkers
Canadian institutionsInstitute of Aging
Fundersnot available
KeywordsPresentation (obstetrics)MedicineGerontologyLibrary scienceComputer scienceSurgery

Abstract

fetched live from OpenAlex

Type 2 diabetes (T2D) is a metabolic disease that affects over 340 million people worldwide. This condition can go unnoticed and undiagnosed for years, leading to a late stage where high blood sugar produces complications such as delayed wound healing . Current research has shown that eicosanoids participate in the decrease of insulin signaling and 12-HTT through its receptor BLT2 accelerates keratinocyte migration and wound healing . Aditionally, evidence has emerged about the role of nitric oxide (NO) as a proregenerative mediator that is decreased in type 2 diabetes, however there are no reports linking BLT2 and this free radical, as mechanism associated to reepithelization. Aim: to elucidate the role of keratinocyte BLT2 in response to hyperglycemia, and the participtation of NO as a mediator of cellular migration. Methods: 12 males, 9 weeks old C57BL/6J were divided in 2 groups. 6 animals were fed for 5 weeks with High Fat Diet and 6 with control diet. During the protocol, the weight and blood glucose was measured weekly. At 5 th week the animals were euthanatized and the skin was analyzed. In vitro, HaCaT cells were transfected with a FLAG-tagged human BLT2-pCXN2.1 or the empty pCXN2.1 vector. Stable transfectants were selected in the presence of

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.561
Threshold uncertainty score0.405

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.049
GPT teacher head0.397
Teacher spread0.348 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations0
Published2016
Admission routes1
Has abstractyes

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