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Record W150266056

Pharmacy research at URI: mining red maple (Acer rubrum) trees for novel therapeutics to manage diabetes.

2012· article· en· W150266056 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePubMed · 2012
Typearticle
Languageen
FieldChemistry
TopicPlant-Derived Bioactive Compounds
Canadian institutionsnot available
FundersAgriculture and Agri-Food Canada
KeywordsDiabetes mellitusPharmacyMedicinePolyphenolType 2 diabetesTraditional medicineDiseaseDisease managementFamily medicineBiologyInternal medicineBiochemistryEndocrinology
DOInot available

Abstract

fetched live from OpenAlex

type 2 d I abete S mell I tu S (t2dm) accounts for about 90% of all diagnosed cases of diabetes in adults. Over 200 million people suffer from this disease worldwide. In the United States alone, in 2007, 10% of American adults had diabetes and the cost of management was $174 billion and this figure is expected to skyrocket (Centers for Disease Control and Prevention, 2010). Plants and their derived products have been used for centuries by various cultures as traditional medicines for the management of diabetes. Plants contain secondary metabolites (known as phytochemicals; ‘phyto’ means plant), which are implicated in the prevention and treatment of several chronic human diseases, including diabetes. Among these natural products, polyphenols and phenolic glycosides, have attracted significant interests for their anti-diabetic properties. Plant polyphenols as α-glucosidase

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.534
Threshold uncertainty score0.938

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.000
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 head0.210
GPT teacher head0.347
Teacher spread0.136 · 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