Cytosolic ion exchange dynamics: insights into the mechanisms of component ion fluxes and their measurement
Bibliographic record
Abstract
The quantification of cellular pool sizes of ions is essential for the understanding of the energetics of metabolic and membrane transport processes. No less important is the quantification of ion fluxes into, out of, and within cells. Of the variety of analytical methods available, only one, compartmental analysis by tracer efflux (CATE), can be used to simultaneously determine subcellular ion pool sizes and resolve ion fluxes. Thus, this methodology can be used to provide steady-state isotherms for major flux processes not amenable to direct measurement, such as effluxes or xylem fluxes, and to develop hypotheses about mechanisms underlying them. The exchange half-time for an ion in a cellular compartment emerges as a key CATE parameter that relates pool sizes with fluxes, and is a term that can be used to estimate errors in a wide range of findings in plant ion relations, and verify their plausibility. Case studies involving the flux and compartmentation of Ca2+, K+, and inorganic N are presented.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".