Pharmacy research at URI: mining red maple (Acer rubrum) trees for novel therapeutics to manage diabetes.
Bibliographic record
Abstract
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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.067 | 0.028 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".