Potential bioactive effects of softwood knot extracts
Bibliographic record
Abstract
Softwood knots, i.e. the branch base encased in the tree stem, belonging to the genera Pinus and Picea, contain exceptionally large amounts of bioactive phenolic compounds They constitute a valuable resource with a potential for use as technical antioxidants, biological antioxidants in foodstuffs, functional food ingredients and natural biocides Previously it has been reported that in human Jurkat T cells knot extracts from Pinus banksiana lamb. (Jack pine, Saskatchewan, Canada) are more cytotoxic than Picea sitchensis (bong.) Carr. (Sitka spruce, Co. Mayo, Republic of Ireland), with half maximal inhibitory concentration values of 153.0 mg/ml and 376.1 mg/ml respectively Thus, the aim of the present study was to further assess the potential bioactivity of these wood knot samples by investigating their effect on cell membrane integrity, antioxidant enzyme activity and cytokine production in human Jurkat T cells. In addition, their potential protective effects against oxidant-induced cell injury and DNA damage were determined.
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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) | 0.001 | 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 | 0.000 |
| 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".