Bibliographic record
Abstract
Massive outbreaks of starfish (Asteridae) occur periodically in European coastal waters. The origins of these irregular population increases are poorly understood. In the subtidal zone of the Bay of Douamenez, Brittany, France, the occurrence of several species of Asteridae and the polymodal size distribution differentiate these aggregations from the single year-class and monospecific intertidal infestations. An echinoderm population survey from 1982 to 1988 showed an increase in carnivorous starfish (principally Asterias rubens and Marthasterias glacialis) from 1981 to 1984, when the population reached carrying capacity. At this time, a trophic imbalance between starfish and bivalves was observed. From 1985 onward, the total echinoderm biomass decreased coincidentally with an increase in the two super predators the starfish, Luidia sarsi and Luidia ciliaris. From 1986 to 1988, the primary carnivorous echinoderm biomass appeared insufficient to meet the food requirements of the Luidia species. The role of the different factors controlling these starfish population changes is discussed. Whereas the hypothesis of regulation by Luidia predation fits the observations, it is also possible that direct or indirect temperature effects are also involved in population changes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.005 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.009 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.010 | 0.004 |
| Insufficient payload (model declined to judge) | 0.991 | 0.994 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".