Interannual variations in rates of larval growth and development of jack mackerel (<i>Trachurus japonicus</i>) in the East China Sea: implications for juvenile survival
Bibliographic record
Abstract
Interannual variability in somatic growth rate during the larval stage and age at the onset of metamorphosis as a proxy for the development rate of jack mackerel (Trachurus japonicus) were examined in relation to habitat conditions during 2005 to 2010 in the shelf break region of the East China Sea (ECS). Habitat conditions were assessed in the February to March and the April surveys, which corresponded with the early hatching period in the spawning grounds and the main sampling period in the larval nursery grounds, respectively. Relationships between the growth and development rates and juvenile abundances in the near-bottom layer in May to June during the six consecutive survey years were explored. Annual mean growth rates during the late larval stage of pelagic juveniles were faster in years with higher concentrations of Paracalanidae and Oncaeidae copepodites as the main food item for larval T. japonicus in April following the surge of chlorophyll a concentrations. Juvenile abundance in the near-bottom layer was better related to the annual mean growth rate during the late larval stage than to the growth rate during the early larval stage and the development rate. These results suggest that preferred prey conditions due to higher phytoplankton productivity enhance the growth rate during the later larval stage and hence survival during the habitat transition from the surface to the near-bottom layer for T. japonicus in the ECS.
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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 | 0.000 |
| 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".