Environmental effects on recruitment of short-finned squid (Illex illecebrosus)
Bibliographic record
Abstract
Effects of variation in the ocean environment on abundance of northern short-finned squid (Illex illecebrosus) in the northwest Atlantic Ocean were investigated using a multiple regression model. A catch-based abundance index from two Canadian fishery areas was used as the dependent variable in time series analysis. Simple correlation analysis was used to select environmental indices. A model based on a 73-year time series of catch and meteorological data suggested that atmospheric forcing was related to squid abundance. Two other models were explored using a shorter (25-year) time series, which included an ocean temperature index and a Gulf Stream position index. One model utilized the catch-based index, whereas the other used a fisheryindependent survey index as the dependent variable. All analyses indicated that squid abundance was positively related to a favourable oceanographic regime associated with a negative North Atlantic Oscillation (NAO) index (weak winter northwesterly winds), high water temperatures off Newfoundland and a southward shift in the position of the Gulf Stream and the boundary between the shelf waters and the offshore slope waters. In addition, increased meandering of the Gulf Stream appears to promote increased abundance, probably through enhanced shoreward transport of squid. Environmental relationships with squid indices are believed to reflect effects of broad-scale winter atmospheric circulation patterns on Gulf Stream dynamics, which largely regulate year-class strength of the dominant winter-spawning group early in life.
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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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".