MétaCan
Menu
Back to cohort
Record W776543727 · doi:10.2499/9780896295643

Global Nutrition Report

2014· report· en· W776543727 on OpenAlexfundno aff
International Food Policy Research Institute

Bibliographic record

Venuenot available
Typereport
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsnot available
FundersDepartment for International DevelopmentGovernment of CanadaUniversity of PennsylvaniaUNICEFAction Contre La FaimWorld Health OrganizationInternational Fine Particle Research InstituteUnited States Agency for International Development
KeywordsComputer science

Abstract

fetched live from OpenAlex

The Global Nutrition Report (GNR) provides a global profile and country profiles on nutrition for each of the United Nations’ 193 member states, and includes specific progress for each country. It will be a centerpiece of the Second International Conference on Nutrition (ICN2) in Rome on 19-21 November, organized by the UN Food and Agriculture Organization and the World Health Organization.

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.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.898
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.336
Teacher spread0.304 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations144
Published2014
Admission routes1
Has abstractyes

Explore more

Same topicChild Nutrition and Water AccessFrench-language works237,207