Can long‐term variation in catch of Japanese spiny lobster <i>Panulirus japonicus</i> be explained by larval supply through the Kuroshio Current?
Bibliographic record
Abstract
Abstract Long‐term annual variation in the catch index (CI) of Japanese spiny lobster Panulirus japonicus was examined in relation to the Kuroshio Current index (KCI). We identified two clusters (A, B) of the regions (prefectures) located east (A) and west (B) of Shionomisaki at the southern tip of Kii Peninsula, Japan. There was a significant positive relationship between the KCI at year t and the CI at year t+2 (2 years later) for cluster A. This relationship suggests annual variation in P. japonicus catch may be determined by the variation in puerulus supply through the Kuroshio Current. Relationships between the CI of these two clusters varied depending on 3 periods, which corresponded to 3 regime shifts: years before 1976, from 1977 to 1988, and after 1989. Significant negative relationships were detected between the CI of clusters A and B from 1975 to 2001, whereas a positive but non‐significant relationship was found from 1965 to 1974. Annual variation in the CI of each cluster did not have a significant relationship with the presence/absence of the large‐meander path of the Kuroshio Current.
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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 | 0.001 |
| 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 | 0.000 | 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".