Gas Exchange, Chlorophyll and Growth Responses of Betula Platyphylla Seedlings to Elevated CO2 and Nitrogen
Bibliographic record
Abstract
Effects of elevated [CO2] and nitrogen nutrition on leaf gas exchange, chlorophyll content and growth in Betulaplatyphylla seedlings were studied. The seedlings were grown in the ambient [CO2] (AC, 350????mol mol-1) and elevated[CO2] (EC, 700????mol mol-1) growth chambers, with three levels of nitrogen: LN (0mmol L-1 N), MN (1.5mmol L-1 N)and HN (3mmol L-1 N). HN increased photosynthesis (Pmax), photochemical efficiency of PSII (Fv/Fm) and intercellular[CO2] (Ci) by 120%, 8% and 11% than the LN. EC significantly increased Pmax and Ci by 37% and 57% compared tothe AC. The interaction of EC and LN was significant increased by 85% than the AC+MN, and could be attributed toboth inhibition of photosynthetic light reactions and carboxylation activity of Rubisco. In AC and EC, total biomasswere 3.2 and 5.1 times greater in HN compared to LN. Root biomass increased significantly in HN level under both ACand EC. Chlorophyll (Chl) a and Chl b increased with increasing N availability.
Stored with the screening record, where it is evidence for the labels above.
How this classification was reachedexpand
The three-model screen
all 5,600 screened works →All three models called this out of scope.
Plant physiology experiment on birch seedlings under elevated CO2 and nitrogen; the object is plant growth.
The work examines plant responses to carbon dioxide and nitrogen.
Plant physiology under elevated CO2 and nitrogen.
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".