Habitat preferences and population dynamics of Ostracoda in a helocrene spring system
Bibliographic record
Abstract
Habitat features and ostracod populations were monitored monthly between December 1995 and September 1996 in three contiguous pools of a Mediterranean helocrene spring. Principal-components analysis (PCA) of the physical and chemical properties of the water showed that seasonal variations were minor in the site closest to the source (pool 1). Conversely, the site the most distant from the source (pool 3) had the greatest variation in temperature and oxygen and calcium contents. Differences in limnological factors, especially the equilibrium system of carbonates, among sites were also clear from the results obtained with PCA. The cosmopolitan ostracod Cypridopsis vidua predominated in pool 1, where variations in oxygen content and temperature were minimal, and showed a univoltine reproductive pattern. The crenophilous species Potamocypris villosa and Herpetocypris intermedia were the most abundant ostracods at the other two sites, where the development of filamentous algae and Characeae produced a high oxygen concentration and an increase in calcium carbonate precipitation. The latter two species both produced two generations per year. The small size of springs and their position between interstitial and surface waters make them excellent systems for the study of ostracod ecology and the influences of environmental factors upon their life-history traits.
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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 | 0.000 |
| 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) | 0.001 | 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".