Comparison Between Two Methods of Bioelectrical Impedance Analyses for Measuring Abdominal Visceral Fat Tissue
Bibliographic record
Abstract
Background: The assessment of visceral adiposity is essential for the management of obesity. Bioelectrical impedance analysis (BIA) has been established as a practical method for the assessment of visceral adiposity. Methods: We compared two BIA methods (seca, mBCA 515; Omron, HDS-2000) of assessing visceral adiposity. Results: Visceral adipose tissue volume measured using seca mBCA 515 was highly correlated with visceral fat area measured using HDS-2000; however, they were differently correlated with waist circumference and body mass index, respectively. Conclusions: The seca mBCA 515 can distinguish fat mass from lean mass more accurately compared with conventional BIA methods. J Endocrinol Metab. 2018;8(4):76-78 doi: https://doi.org/10.14740/jem518w
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".