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Record W2961683851 · doi:10.1016/s2213-8587(19)30084-1

Visceral and ectopic fat, atherosclerosis, and cardiometabolic disease: a position statement

2019· review· en· W2961683851 on OpenAlexafffund
Ian J. Neeland, Robert Ross, Jean‐Pierre Després, Yūji Matsuzawa, Shizuya Yamashita, Iris Shai, Paolo Magni, Raúl D. Santos, Benoît J. Arsenault, Ada Cuevas, Frank B. Hu, Bruce A. Griffin, Alberto Zambon, Philip J. Barter, Jean‐Charles Fruchart, Robert H. Eckel

Bibliographic record

VenueThe Lancet Diabetes & Endocrinology · 2019
Typereview
Languageen
FieldMedicine
TopicCardiovascular Disease and Adiposity
Canadian institutionsUniversité LavalQueen's University
FundersNovo NordiskCalifornia Walnut CommissionEli Lilly and CompanyUniversité LavalInternational Atherosclerosis SocietyAstraZenecaInternational Chair on Cardiometabolic RiskAmgen
KeywordsMedicineObesityDiseaseEpidemiologyDiabetes mellitusAdipose tissueMetabolic syndromePublic healthInternal medicineIntensive care medicinePathologyEndocrinology

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0020.003
Science and technology studies0.0010.002
Scholarly communication0.0030.005
Open science0.0020.003
Research integrity0.0070.010
Insufficient payload (model declined to judge)0.0070.004

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 head0.059
GPT teacher head0.331
Teacher spread0.272 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations1,508
Published2019
Admission routes2
Has abstractno

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