Testing assumptions of otolith radiometric aging with two long-lived fishes from the northern Gulf of Mexico
Bibliographic record
Abstract
In this study, we evaluate the assumptions for estimating ages with radiometric and elemental analyses of otoliths of red snapper (Lutjanus campechanus) and red drum (Sciaenops ocellatus) from the northern Gulf of Mexico. In whole otoliths of both red snapper and red drum, 226Ra activity was inversely correlated with the otolith mass increase with age, validating the assumption that 226Ra accumulation in otoliths occurs at a rate proportional to that of Ca. 222Rn emanation from otoliths decreased as otolith mass increased. 222Rn loss occurred in all red snapper otolith samples ([Formula: see text]4.1%) and, to a lesser extent, in red drum otolith samples ([Formula: see text]0.6%) and decreased with increasing size (age) of the otolith. For red drum, the assumption that the initial activity ratio of 210Po to 226Ra in otoliths is essentially zero was indirectly validated with elemental analyses of Pb and Ba. Radiometric age estimation of shallow-water fishes from the northern Gulf of Mexico holds great promise, considering that 226Ra activities observed in this study are some of the highest recorded to date for species to which the 210Pb/226Ra dating technique has been applied.
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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 | 0.010 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".