Modelling and Validation of OBT Formation in Tomato and Potato Plants
Bibliographic record
Abstract
This study is devoted to the collection and robust analysis of 2008-2009 field data pertaining to airborne tritium transfer in potato and tomato plants subject to continuous releases. The study is a part of implementation and validation of tritium transfer model ported to Canadian LAnd Surface Scheme (CLASS), which has been recently extended towards plant phenomenology in Canadian Terrestrial Ecosystem Model (CTEM+CLASS v.2.7). The initial validation has been performed for ratios of organic to free-water tritium in plant tissues (OBT/HTO ratios) retrieved from the simple off-line tritium uptake and re-emission routine assessed against historical OBT/HTO ratio datasets. The observed underestimate of high OBT/HTO ratios in this simple model warrants deployment of CTEM+CLASS and makes it necessary to focus the next experimental validation effort at tritium re-emission phase. The concentration of HTO in the upper soil layer, in the different parts of vegetation and in the air has been assessed. The sampling was performed on weekly and hourly scales, in the latter case with emphasis on a night-time period. The process of uptake from atmosphere has been clarified using plants grown on the clean tarp-covered soil at Acid Rain Site of Chalk River Laboratories (CRL), which dumped the root uptake pathway. The processes of root uptake and re-emission from plant were clarified at the irrigated Perch Lake site of CRL. Auxiliary environmental drivers and site-specific data were collected according to format of inputs and parameterization of CTEM+CLASS.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.001 | 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".