Are Morphometrical Approaches Appropriate to Establish Size at Maturity for Male American Lobster, Homarus Americanus?
Bibliographic record
Abstract
Study on the size at maturity of male American lobster (Homarus americanus) has traditionally been done based on a linear relationship between chelae size vs. body size assuming that a sharp change in slope occurs at onset of maturity. We analyzed this sexual dimorphism by standard log-linear transformations and bivariate allometric plots as well as by multivariate Principal Components Analysis (PCA) in order to verify the validity of this approach for determining size at maturity. These analyses showed that onset of maturity cannot be detected efficiently by claw morphometry because this secondary sexual character gradually changes from early juvenile stages, contrary to what has been believed. Observation of the presence of spermatozoa in the vasa deferentia (gonadal maturity) showed that 50% gonadal maturity occurred at 49.8 mm of carapace length for male lobster from the southern Gulf of St. Lawrence. However, gonadal maturity does not necessarily correspond to the ability to mate (behavioral maturity) in many crustacean species. Therefore, further studies are needed to assess the behavioral maturity to determine the size at maturity for male lobsters.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".