Reproduction of Hydrocharis morsus-ranae taxa in an oxbow lake of the River Vistula
Bibliographic record
Abstract
Abstract The aim of the research was to establish the density of specimens and shoots as well as the reproductive effort of Hydrocharis morsus-ranae during the whole vegetative period in a Polish oxbow lake. The following specimen features were examined: plant diameter, total length, the number of buds, flowers, young fruit, ripe fruit, turions and leaves and also dry total mass, vegetative mass, generative mass, the bud mass, the flower mass, young fruit mass and ripe fruit mass. The density of Hydrocharis morsus-ranae specimens per square metre ranged from 10 to 170 while the density of shoots ranged from 10 to 545. From one square metre overgrown with Hydrocharis morsus-ranae, a maximum of 389 turions, 50 fruit and 4000 seeds are produced. The maximum of reproductive effort is 97.8% of vegetative mass and 2.2% of generative mass in September 2010. The factors which best explain changeability of the Hydrocharis morsusranae population in time are the length and the diameter of the specimens in the population. Fruiting of Hydrocharis morsus-ranae in Poland is higher than in Canada, where it is an invasive taxon. Hydrocharis morsus-ranae is well adapted to the environment in oxbow lakes of the River Vistula and represents the S-R strategy.
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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 | 0.001 | 0.001 |
| 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) | 0.001 | 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".