Investigating lifespan and healthspan effects of Canada grown Haskap berries (Lonicera caerulea) on Caenorhabditis elegans:
Bibliographic record
Abstract
Fruit such as acai fruits have grown in popularity due to high anti-oxident activity and other health promoting benefits. Studies suggest anthocyanins are responsible for various bioactivities such as anti-osicent, anti-inflamatory, ani-microbial, cardiprotective, hepatoprotective, and neuroprotective activities, among others. Haskap berries (HBs) are especially suited for growth in Canada. The berries also contain a higher concentration of anthocyanins compare to various acai fruits, making them a good candidate for further investigation. Although some in vitro investigation of HBs has been done, in vivo data is currently unavailable. This study addresses the lack of in vivo research on HBs by studying healthspan and lifespan effects of various haskap berry extract concentrations on model organism C. elegans. This study will provide a methodological and data-driven starting point for further research.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.002 | 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 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".