Whitefish (<i>Coregonus lavaretus</i>) respiration rate governs intra-otolith variation of δ<sup>13</sup>C values in Lake Annecy
Bibliographic record
Abstract
We generated 10 high-resolution profiles of stable carbon and oxygen isotope values (δ13Coto and δ18Ooto) of sagittal otoliths of whitefish (Coregonus lavaretus) from Lake Annecy (France) to determine the factors that control intra-individual δ13Coto variation. Dominant patterns of intra-otolith variation compared well with seasonal and age-specific respiration modeling. Conversely, intra-otolith variation of δ13C values did not compare well with measured dietary and environmental variation. We infer that the proportion of metabolically sourced carbon (M) is the dominant control on intra-otolith variation. Current models of otolith carbon incorporation provide different estimates of M. Once appropriate fractionation factors among otolith, endolymph, blood, and carbon sources are elucidated, δ13Coto values will reveal energetic, environmental, and dietary information of teleost fish for past and present populations. Used in conjunction with δ18Ooto values, δ13Coto values will be powerful proxies of fish environment, behavior, and evolution.
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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 | 0.000 | 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) | 0.000 | 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".