10.1016/s0967-0653(97)86363-6
Bibliographic record
Abstract
Feeding, respiration, and ammonia excretion of Acartia tonsa were studied in a brackish lagoon, near Marseilles (Southern France). The experiments were performed during the same season in two successive years, using naturally occurring particles as food. Strong variations in both quantity and quality of food particles were recorded between the two series of experiments. The ingestion of particles according to their size was studied by means of the Coulter Counter technique. Females ingested more food than males. In both sexes, there was a tendency to select median to large particles, regardless of the shape of the particles-size spectrum. In 1990, the specific production rate, deduced from the energy budget, was equivalent to or greater than the observed egg production, while in 1989 it was too small to account for the observed rate. This could be due to the poor nutritive value of particles in 1989, as evidenced by their low chlorophyll:volume ratio. The nutritive requirements would then have been completed by ingestion of nauplii and rotifers which were particularly abundant in 1989. This presumed shift to carnivorism is borne out by the lower O:N atomic ratio (oxygen consumed and NH4-N excreted) calculated for this period.
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) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.009 | 0.003 |
| Insufficient payload (model declined to judge) | 0.985 | 0.986 |
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".