Temperatures within Flowers and Stems: Possible Roles in Plant Reproduction in the North
Bibliographic record
Abstract
temperature regimes within fl owers and stems show that insolation (solar) warming results in tempera-flowers and stems show that insolation (solar) warming results in temperature excesses above the ambient air. the additional heat is important for development of reproductive organs (sporophylls) and presumably for the growth of stems.We review studies on temperature regimes within flowers and note that there are almost none within stems.temperature excesses above ambient air in flowers and within hollow stems are variable but can range up to about 10 o C. In the Magadan area, our cursory survey suggests that stem hollowness is more common (18:4 species) than in other parts of the world (about 50%).our results from recording temperatures with the hollow stems of four species of herbaceous plants (oats (Avena sativa), dandelion (Taraxacum officinale), thistle (Cirsium setosum) and sneezewort (ptarmica salicifolia) in a direct sunlight in Magadan present temperature excesses from about 1 o C to 7 o C depending on species, location, and other factors.Flowering, seed-set, floral and seed presentation all require growth and development of plants which are generally stimulated by heat.the general effects of weather and temperature are highly influenced by micrometeorology within plant organs by biophysical processes that suggest adaptations for insolational heat capture.our studies, although preliminary, open the door to a poorly studied area of micrometeorology.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".