Strategy of spawning in the tropical squid <i>Lolliguncula diomedeae</i> females: allocation of energy, senescence, and influence of <i>Aggregata</i> coccidians
Bibliographic record
Abstract
Although the squid Lolliguncula diomedeae (Hoyle, 1904) is of commercial and ecological importance in the Gulf of Tehuantepec (southeastern Mexico), this is the first study to examine female spawning strategy. Information on reproductive indicators was used to assess the impact of spawning behavior on growth rates and the condition of somatic tissue, since energy for reproduction is derived mainly from somatic tissue and consumed food. Additionally, oocyte storage patterns were examined to determine the type of spawning that characterizes this species. A total of 1347 females, ranging between 27.3 and 90.0 mm dorsal mantle length (ML) and 0.1 and 25.6 g of total weight, were examined. Statolith analysis indicates that the life cycle of L. diomedeae is 212 days. Allometric growth was observed during the female life cycle. The size at maturity was 68.54 mm ML, with synchronous ovulation (by groups) and intermittent spawning. The results showed that L. diomedeae is an energetically efficient squid species that feeds during all of its reproductive life stages, thus ensuring the occurrence of partial spawning events, and that feeding ends when senescence begins. However, its life cycle could be affected by the presence of coccidian parasites, mainly during senescence.
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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".