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Record W2750919614 · doi:10.5539/gjhs.v9n10p78

Visceral Fat Area Evaluation by Computed Tomography Correlates with Visceral Fat Volume

2017· article· en· W2750919614 on OpenAlex
Masato Mizui, Yuji Mizoguchi, Yutaka Senda, Masayuki Yokoi, Takao Tashiro

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueGlobal Journal of Health Science · 2017
Typearticle
Languageen
FieldMedicine
TopicBody Contouring and Surgery
Canadian institutionsnot available
Fundersnot available
KeywordsVisceral fatAbdomenMedicineSubcutaneous fatIntra-Abdominal FatComputed tomographyAnatomyNuclear medicineRadiologyAdipose tissueInternal medicineObesityInsulin resistance

Abstract

fetched live from OpenAlex

In Japan, the measurement of abdominal circumference is commonly used in diagnosis of visceral fat accumulation. It is also recommended that visceral fat at the umbilical level be measured using CT scans. If CT is used to measure the visceral fat area, we do not have to consider the possibility of measurement error due to subcutaneous fat. However, it is unknown whether the visceral fat area measurement by CT reflects the visceral fat volume of the entire abdomen.We examined the correlation between the visceral fat area at the umbilical level and the visceral fat volume of the entire abdomen using CT images taken from the diaphragm to the pubic bone.The results showed that there was a very high correlation between the visceral fat area and the visceral fat volume. The correlation was not affected by gender differences, old age or whether visceral fat was accumulated or not.Therefore, we concluded that it is possible to estimate the visceral fat volume of the entire abdomen by measuring the visceral fat area at the umbilical level.

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)0.003
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score0.763

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
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 head0.028
GPT teacher head0.331
Teacher spread0.303 · 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