MétaCan
Menu
Back to cohort
Record W2767153865 · doi:10.23937/2377-3634/1410073

New Development of Hypoglycemia in a Previously Poorly-Controlled Type 2 Diabetic: Ackee Fruit-Induced Hypoglycemia

2017· article· en· W2767153865 on OpenAlexaboutno aff
Summaya Latif, Pooja Luthra

Bibliographic record

VenueInternational Journal of Diabetes and Clinical Research · 2017
Typearticle
Languageen
FieldMedicine
TopicNatural Antidiabetic Agents Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

The Ackee tree, a native species of West Africa, was introduced into Jamaica in 1776 and has since naturalized in southern California and Florida, as well as the Antilles, and Central America. Ackee is the national fruit of Jamaica. Consumption of Ackee fruit or 'Blighia sapida' is uncommon outside these areas. However, Ackee is legally imported in several countries including the USA, Canada, United Kingdom and others. In the USA, the FDA limits the importation to pre-approved companies which have audited and approved Hazard Analysis and Critical Control Points (HACCP) systems in place and that have shown the ability to comply with the stipulated regulatory limit of 100 pmm hypoglycin A in the product.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.142
GPT teacher head0.483
Teacher spread0.341 · 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 designCase report
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

Citations1
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Diabetes and Clinical ResearchSame topicNatural Antidiabetic Agents StudiesFrench-language works237,207