Variability in the trophic position of larval fish in a coastal pelagic ecosystem based on stable isotope analysis
Bibliographic record
Abstract
We used stable isotopes of carbon (C) and nitrogen (N) to investigate the trophic position of six species of larval fish in the pelagic ecosystem of coastal Newfoundland. Isotope profiles from phytoplankton, net plankton and macrozooplankton were consistent with previous studies. All species of larval fish showed a length-dependent shift in δ13C that indicates a move to a pelagic diet from the combined pelagic and demersal eating habits of the adult spawners. The trophic position of four larval fish species (American plaice, yellowtail flounder, cunner, radiated shanny) was consistent with them feeding primarily on copepods, as expected from stomach content analysis. The δ15N-based trophic position of larval witch flounder and capelin indicates that they feed significantly on phytoplankton and heterotrophic protists from the microbial loop, respectively; this evidence contrasts with stomach content analysis. Although links between larval fish and the microbial loop are not considered as common as is the link with crustacean zooplankton, this and other studies challenge the long-held belief that marine fish larvae feed effectively exclusively on copepods.
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 | 0.001 | 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) | 0.000 | 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".