HTO and OBT Concentrations in a Wetland Ecosystem
Bibliographic record
Abstract
Tritiated water (HTO) and organically bound tritium (OBT) concentrations in the non-human biota inhabiting Duke Swamp were measured during the 2005 growing season. Samples of surface water, soil, plants, precipitation, wild animals and air moisture were collected from 2005 May to October at five locations in the swamp and analyzed for their tritium content. HTO concentrations in air moisture decreased with height since the tritium source is in the ground. Soil HTO concentrations were not closely related to the concentrations in nearby surface water and the HTO concentration in balsam fir needles showed no clear pattern with height. HTO concentrations in moss, grass and alder leaves decreased in September, which is the time when metabolic activity is reduced. OBT concentrations in a given compartment showed less variation than the HTO concentrations in that compartment. The OBT/HTO ratio was approximately one for soil and less than one for plants, with the exception of lichen. The OBT/HTO ratio in most wild animals was also less than one, but increased to more than 2.0 for mice. Although the tritium concentrations varied substantially in space and time in Duke Swamp, the fact that OBT/HTO <1 for most compartments suggests that equilibrium conditions hold locally.
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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".