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Cognitive dysfunction associated with metabolic syndrome

2007· review· en· W2126312127 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueObesity Reviews · 2007
Typereview
Languageen
FieldNeuroscience
TopicRegulation of Appetite and Obesity
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMetabolic syndromeMedicineCognitionObesityPathogenesisBlood pressureInternal medicineBioinformaticsPhysiologyEndocrinologyPsychiatryBiology

Abstract

fetched live from OpenAlex

Metabolic syndrome which includes visceral obesity, elevated triglycerides, elevated fasting blood sugar, high blood pressure and a decrease in high-density lipoprotein cholesterol levels comprises the most common chronic physical illnesses in modern society. Components of the metabolic syndrome play a role in the pathogenesis of a plethora of medical illnesses. Evidence has emerged highlighting the detrimental effects of metabolic syndrome and its constituent features on the cognitive aspects of neurological function. The precise mechanisms underlying this association are not known but a combination of neuroanatomical changes and neuroendocrine consequences of somatic dysregulation may be relevant. As the population ages and the prevalence of metabolic syndrome increases, it is important that this clinically relevant association be recognized.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.994
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.004

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 head0.118
GPT teacher head0.345
Teacher spread0.227 · 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