Growth and reproduction of female eastern and whitebelly spinner dolphins incidentally killed in the eastern tropical Pacific tuna purse-seine fishery
Bibliographic record
Abstract
Life-history parameters are estimated for two forms of the spinner dolphin ( Stenella longirostris (Gray, 1828)): the eastern subspecies ( Stenella longirostris orientalis Perrin, 1990) and the whitebelly hybrid. The data analyzed (n = 3138 eastern and 3099 whitebelly spinner dolphins) were collected between 1968 and 1994 from female dolphins incidentally killed in the yellowfin tuna ( Thunnus albacares (Bonnaterre, 1788)) purse-seine fishery that operates in the eastern tropical Pacific Ocean. Eastern spinner dolphins averaged 79.7 cm at birth, 121.5 cm at 1 year, and 171.5 cm at asymptotic length, and had a mean annual pregnancy rate of 0.351 and a calving interval of 2.84 years. Whitebelly spinner dolphins averaged 80.2 cm at birth, 122.5 cm at 1 year, and 177.1 cm at asymptotic length, and had a mean annual pregnancy rate of 0.329 and calving interval of 3.04 years. The mean age at attainment of sexual maturity was estimated to be 8.7 and 8.4 years for eastern and whitebelly spinner dolphins, respectively, which are 3.2 and 1.7 years older than those previously published. This difference indicates that the mean reproductive output during a female’s life is lower than previously expected and likely translates into lower population growth rates.
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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 | 0.001 |
| 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".