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Record W2891411044 · doi:10.1002/jum.14789

Ultrasonography Technique in Abdominal Subcutaneous Adipose Tissue Measurement: A Systematic Review

2018· review· en· W2891411044 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

VenueJournal of Ultrasound in Medicine · 2018
Typereview
Languageen
FieldMedicine
TopicBody Contouring and Surgery
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineUltrasonographyAdipose tissueRadiologySubcutaneous adipose tissueUltrasoundReliability (semiconductor)Subcutaneous tissueSubcutaneous fatMedical physicsSurgeryInternal medicine

Abstract

fetched live from OpenAlex

There are currently several reported techniques of sonographic subcutaneous adipose tissue (SAT) measurement described in the literature. This systematic review aims to report techniques of SAT measurement using ultrasonography. A systematic literature search was performed and identified 39 relevant articles using ultrasonography to quantify abdominal SAT. The following parameters were collected: type of measurement, ultrasound machine make/model, transducer frequency, external/internal landmarks, pressure applied on probe, special techniques and inter-/intraobserver reliability. Literature findings related to the above parameters were summarized. A summary of the most common techniques and parameters is provided, serving as a reference for a necessary standardized approach.

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)0.014
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.207
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0110.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.047
GPT teacher head0.341
Teacher spread0.294 · 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