long-term changes in size–depth distributions of <i>urophycis tenuis</i> white hake in the southern gulf of st lawrence and cabot strait
Bibliographic record
Abstract
the body length–water depth distribution of urophycis tenuis white hake (pisces, gadidae) in the southern gulf of st lawrence (1971–1975, 1981–1985, 1991–1995 and 2001–2002) and cabot strait (1994–1997) was examined. contrary to expectation, linear regression analyses indicated 13 of 17 years had negative slopes with larger fish being found in shallower water. length–depth relationships were statistically significant for five of 17 years (negative slopes: 1971, 1972, 1975, 1981; positive slope: 2002). regression slopes generally increased from 1971 to 2002 indicating the length–depth relationship changed from negative in the early 1970s and 1980s, to negative and positive in the early 1990s, and finally to positive in 2001–2002. in the cabot strait, a significant positive relationship was observed for fish length and water depth indicating large u. tenuis generally occurred in deeper water. we propose that slopes of the length–depth relationship became positive in the 1990s and early 2000s due to the loss of large u. tenuis taken in a seasonal fishery in the southern gulf of st lawrence that targeted highly aggregated spawning and post-spawning shoals of fish in shallow water during summer.
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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 | 0.001 |
| 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) | 0.001 | 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 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".