Bibliographic record
Abstract
Formation and depuration of non-exchangeable organically bound tritium (OBT) is measured in mussel dry tissue on expanding time scales. The OBT course of time is analyzed by means of the Verhulst logistic growth function. Two separate routes are found as well for OBT formation as depuration, i.e., restoration of organically bound hydrogen (OBH). Routes which arrive at saturation earlier than sampling started are assigned to respiration. Other routes which start with one-day delay are attributed to metabolc pathways. The metabolic route of OBT formation includes, in addition to the logistic growth function, one rapid mechanism with ≤0.01 d half-time. This rapid OBT formation comprises about 75% of the metabolic OBT formation yield. About the same yield as the sum of both metabolic OBT formations is re-found in the OBH turnover of metabolic depuration. The protein rich tissue guides, in context of well-known dynamics of protein formation, the suggestion of reaction mechanisms. The major part of traditionally determined OBT which is considered in tritium dose assessment to be tritium bound to carbon is traced back to exchangeable tritium in the living state. This may lead to overestimation of the risk of HTO- and OBT-incorporation.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".