Analyses of connections between Atlantic Bluefin tuna fisheries at both sites of the Atlantic comprising Balfegó catch rates in Balearic spawning ground.
Bibliographic record
Abstract
This study analyzes connections among Atlantic bluefin tuna fisheries at both sites of the Atlantic.Catch rates of nine fisheries including Balfegó CPUE are analyzed in this study.In 2012 Balfegó CPUE near triplicates 2011 rates and showed the strength of 2003 cohort.The correlation analysis showed positive 1 correlations between The Gulf of St. Lawrence fishery, Japanese LL in area 2, Spanish traps and Balfegó purse seiners, indicators of the eastern Atlantic bluefin tuna breeders.The U.S. northeast Atlantic fishery correlates negatively with Gulf of St Lawrence, south of Nova Scotia and Japanese LL in region 17&18 but positively with eastern juveniles of Spanish baitboat indices of ages 1, 2, and 3.Japanese longliners indices of western and eastern correlate positively; no correlation was found within each group.Japanese longliners Area 3 correlates positively with Spanish baitboat age 1, age 2 with areas 5&med and 17&18.The south Nova Scotia fishery correlates negative with ages 3 and 4. Morocco traps, the only fishery that did not correlate with any other.This study showed valuable information and reveals the need to revise the current western and eastern fisheries categorization criteria and provides additional tool to investigate the Atlantic bluefin tuna distribution.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".