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Record W4241361370 · doi:10.1111/jdi.12008

President Lecture

2012· article· en· W4241361370 on OpenAlexaff
Nigishi Hotta

Bibliographic record

VenueJournal of Diabetes Investigation · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPeroxisome Proliferator-Activated Receptors
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCitationMedicineLibrary scienceComputer science

Abstract

fetched live from OpenAlex

The extraordinary increase in diabetes worldwide is a matter of great urgency. Molecular biology and genetic approaches have greatly advanced our understanding of the causes of diabetes and its complications and the development of treatment. Despite these advances, the average age at death of Japanese patients with diabetes is still over 10 years younger than the general population in Japan for the period 1971-2000, although the lifespan of both males and females with diabetes has lengthened with time in parallel with that of the Japanese population. The most frequent cause of death was malignant neoplasia, with vascular disease the second highest in frequency during the period 1991-2000. Moreover, recently it has been well recognized that the prevalence of dementia is higher in diabetic patients than non-diabetic subjects. As a possibility promoting cognitive decline in diabetic state, brain insulin resistance associated from defective insulin signaling is proposed in the recent studies. Coupled with the aging of society, an increase in the number of elderly diabetic patients is inevitable. Therefore, in addition to the prevention and the treatment of diabetes mellitus and its vascular complications, the best treatment for dementia in elderly diabetic patients will be one of the most important issues in diabetes management in the future. From these points of view, the management of diabetes and its related problems are discussed, including the effect of polyol pathway hyperactivity in the pathogenesis of diabetic complications.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.182
Threshold uncertainty score0.289

Codex and Gemma teacher scores by category

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 integrity0.0000.000
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 head0.009
GPT teacher head0.229
Teacher spread0.220 · 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 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

Citations0
Published2012
Admission routes1
Has abstractyes

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