The potential application of <i>Cordyceps</i> in metabolic‐related disorders
Bibliographic record
Abstract
Changes in the global economy resulted in sedentary lifestyle and excessive calorie intake, increasing the incidence of metabolic diseases, which subsequently became a universal public concern. The difficulties of managing chronic diseases did not dampen researchers' enthusiasm for studying new therapeutics or adjuvant treatments. Cordyceps spp. is a kind of traditional Chinese herbal medicine; however, our understanding of this medicine remains at an initial stage. Recently, an increasing number of studies have demonstrated the potential of Cordyceps as a therapeutic agent for the effective treatment of metabolic-related disorders by exerting a variety of activities, including but not limited to anti-inflammatory, immunoregulatory, hypoglycemic, renoprotective and cardiovascular-protective effects. This article reviews the potential efficacy and underlying mechanisms of Cordyceps and its major bioactive ingredients in metabolic syndrome and its associated comorbidities.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".