Influences of temperature, bathymetry and fronts on spawning migration routes of Icelandic capelin (<i>Mallotus villosus</i>)
Bibliographic record
Abstract
Abstract Capelin ( Mallotus villosus ) is the largest commercial fish stock in Icelandic waters and also an important forage fish. Capelin have adapted to the sub‐arctic environment by migrating north (67–72°N) to feed during summer in deep cold waters (>500 m; 1–3°C) before migrating south (63–65°N) to spawn in winter in warm shallow waters on the south and west coasts of Iceland (<100 m; 5–7°C). Hydroacoustic data on capelin spawning migrations from 1992 to 2007 revealed a consistent southward route along which capelin migrated actively (ground velocity >> current velocity) off the east coast (and a lesser used route off the west coast). North of 65°N, the dominant eastern route followed the bathymetry, skirting the shelf edge (>200 m bottom depth) within a funnel of near constant temperatures (approximately 2.5°C). Further south, between 65 and 64°N, as temperatures warmed to 4.5°C (reaching 7.9°C at 63.5°N), capelin abruptly moved onto the shelf and towards the coastal spawning areas. Capelin spawning migrations appear to be an innately based southward search for appropriate spawning locations, guided by bathymetry and temperature. We suggest that the extended eastern migration route minimizes exposure to cod predation and that warming conditions north of Iceland may result in a northward shift in migrations and spawning locations, as occurred in the 1920s and 1930s.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".