Ultrahigh Carbon Dioxide Atmospheres Increase the Growth Rate, Morphogenesis and Naphthodianthrone Levels in St. John's Wort (<i>Hypericum perforatum</i>) Plants
Bibliographic record
Abstract
The effect of increased levels of carbon dioxide on the growth (fresh weight), morphogenesis (formation of leaves, roots and shoots) and tissue concentrations of the naphthodianthrones (hypericin and pseudohypericin) was determined for St. John's Wort (Hypericum perforatum L.). Plants, started from shoot cuttings in a vermiculite-peat moss mixture within a greenhouse employing natural sunlight, were grown for eight weeks under CO2 levels of 350, 1500, 3000, 10,000 and 30,000 μl CO2/liter atmospheres. Elevated CO2 levels (≥ 1500 μl CO2/liter) significantly increased growth and morphogenesis compared with ambient (350 μl CO2/liter) levels (control). Levels of hypericin were significantly higher at 1500 and 3000 μl CO2/liter than at ambient CO2, while the higher (10,000 and 30,000 μl CO2/liter) CO2 atmospheres caused reductions in levels of both naphthodianthrones in plant tissues. Because of increased plant growth, however, naphthodianthrone yields were significantly increased at elevated CO2 levels as compared with controls.
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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) | 0.001 | 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".