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Record W4416347097 · doi:10.1016/s0140-6736(25)01567-3

Towards unified global action on ultra-processed foods: understanding commercial determinants, countering corporate power, and mobilising a public health response

2025· review· en· W4416347097 on OpenAlexaff
Phillip Baker, Scott Slater, Mariel White, Benjamin Wood, Alejandra Contreras‐Manzano, Camila Corvalán, Arun Kumar Gupta, Karen Hofman, Petronell Kruger, Amos Laar, Mark Lawrence, Mikateko Mafuyeka, Mélissa Mialon, Carlos Augusto Monteiro, Silver Nanema, Sirinya Phulkerd, Barry M. Popkin, Paulo Sêrodio, Katherine Shats, Christoffer van Tulleken, Marion Nestle, Sı́món Barquera

Bibliographic record

VenueThe Lancet · 2025
Typereview
Languageen
FieldMedicine
TopicConsumer Attitudes and Food Labeling
Canadian institutionsTrinity College
FundersBloomberg PhilanthropiesBloomberg Family Foundation
KeywordsFraming (construction)Corporate governanceCivil societyGlobal governanceFood securityTobacco controlOpposition (politics)Global LeadershipGovernment (linguistics)

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.952
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.350
GPT teacher head0.435
Teacher spread0.084 · 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 teacher head, not a consensus.

Study designOther design
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

Citations52
Published2025
Admission routes1
Has abstractno

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