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Record W2912265633 · doi:10.1186/s12966-019-0776-7

Assessing the impact of the Barbados sugar-sweetened beverage tax on beverage sales: an observational study

2019· article· en· W2912265633 on OpenAlexfundno aff
Miriam Alvarado, Nigel Unwin, Stephen J. Sharp, Ian Hambleton, Madhuvanti M. Murphy, T. Alafia Samuels, Marc Suhrcke, Jean Adams

Bibliographic record

VenueInternational Journal of Behavioral Nutrition and Physical Activity · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsnot available
FundersEconomic and Social Research CouncilMedical Research CouncilCenters for Disease Control and PreventionPan American Health OrganizationCentre for Diet and Activity ResearchNational Institute for Health and Care ResearchUnited Kingdom Clinical Research CollaborationInternational Development Research CentreCanadian International Development AgencyCancer Research UKBritish Heart FoundationWellcome Trust
KeywordsBusinessGrocery storeAd valorem taxGovernment (linguistics)Observational studyValue-added taxNon-communicable diseaseMarketingAgricultural economicsEnvironmental healthAdvertisingEconomicsPublic economicsMedicinePublic healthTax reform

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.005
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.094
Threshold uncertainty score0.187

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.016
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.143
GPT teacher head0.443
Teacher spread0.299 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations129
Published2019
Admission routes1
Has abstractyes

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