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Record W2955572659 · doi:10.1016/s2468-2667(19)30102-1

Caribbean public health: achievements and future challenges

2019· letter· en· W2955572659 on OpenAlexaboutno aff
C. James Hospedales

Bibliographic record

VenueThe Lancet Public Health · 2019
Typeletter
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsPublic healthEconomic growthPolitical scienceLatin AmericansPopulationCaribbean regionGeographyMedicineLibrary scienceEnvironmental healthNursing

Abstract

fetched live from OpenAlex

The Caribbean Public Health Agency (CARPHA), one of the three multinational public health agencies in the world, commenced operations on Jan 1, 2013, with the aim of delivering the functions of five previous regional health institutions (Caribbean Epidemiology Centre, Caribbean Environmental Health Institute, Caribbean Food and Nutrition Institute, Caribbean Health Research Council, and Caribbean Regional Drug Testing Laboratory) through one platform for greater synergy and cost-effectiveness and as the principal institutional expression of Caribbean Cooperation in Health.

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 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)0.026
metaresearch head score (Gemma)0.033
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.108
Threshold uncertainty score0.215

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.033
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0070.009
Science and technology studies0.0100.010
Scholarly communication0.0150.019
Open science0.0050.020
Research integrity0.0140.014
Insufficient payload (model declined to judge)0.0480.009

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 head0.182
GPT teacher head0.331
Teacher spread0.149 · 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
GenreCommentary

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

Citations6
Published2019
Admission routes1
Has abstractyes

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