Fecundity of the Atlantic Mackerel (Scomber scombrus) in the Northwest Atlantic in 1987
Bibliographic record
Abstract
Fecundity estimates of Atlantic mackerel (Scomber scombrus) were derived from fish collected in 1987 off the coast of USA and Canada from two spawning contingents in the Northwest Atlantic. Estimates for females of 310 to 446 mm fork length in USA waters ranged from 155 900 to 1 643600 eggs. Fecundities for fish between 313 and 435 mm fork length in Canadian waters ranged from 208 500 to 1 548 400 eggs. The 5- and 6-year-old fish were dominant in both locations. Fecundity was related to fork length, somatic weight and age in both spawning conting-ents. Fecundity estimates for the individual females in USA waters were lower than those in previously published results, while estimates for both the 1987 USA and Canadian contingents were higher than those reported previously for Canadian waters and a North Sea area.
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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 | 0.001 | 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 | 0.001 | 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) | 0.000 | 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 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".