Abundance, Distribution, and Diet of a Small‐Bodied Ecotype of Windowpane
Bibliographic record
Abstract
Abstract Windowpanes Scophthalmus aquosus were collected during demersal trawl surveys in Northumberland Strait in the southern Gulf of St. Lawrence, Canada, during July and August 2001–2012. Abundance indices showed relatively little variation between years. Windowpanes were widely distributed in the strait, with 95% of the population occurring in water <23m deep and with a temperature of >9.5°C. The Windowpanes collected were small, all <30cm total length. Fish of all sizes fed mainly on sevenspine bay shrimp Crangon septemspinosa, followed by mysids and (for fish >20cm) sand lances Ammodytes spp. and juvenile Atlantic Herring Harengus harengus. Small (<10‐cm) individuals also ate crab megalops larvae. The mysids consumed on sandy–gravel substrates were Mysis spp.; those consumed on mud bottom were mainly Neomysis americana. Cannibalism was low, consisting of two individuals <1.6cm.
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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) | 0.003 | 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".