Regional variation and the effect of lake: river area on sex distribution of American eels
Bibliographic record
Abstract
Silver phase American eels, Anguilla rostrata , were collected while migrating from five rivers in Maine, U.S.A. Sex ratios varied from 49 to 98% male for these rivers and had a range of 46% over a 30 km distance between the mouths of three rivers. The proportion of male eels was inversely related to the amount of lacustrine habitat in the five drainage areas ( r =−0·95, P =0·014). A combination of these sex ratios and published data from two Nova Scotia rivers showed large variation in the proportion of male eels within 1° of latitude. Thus, the hypothesis from the literature that the distribution of the sexes is dependent upon distance of larval transport was not supported. Eels migrating from lacustrine habitats within a river were predominately female, while eels migrating from fluvial habitats were predominately male, regardless of upstream distance. Apparently river habitat influences the distribution of the sexes and may play a role in sex determination.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".