Generation and characterization of intracellular and cell state markers to study early stages of Arabidopsis vascular development
Bibliographic record
Abstract
In leaves, procambium, the meristematic precursor tissue for the primary vasculature, arises from oriented, coordinated divisions in ground meristem cells. This study investigates procambium formation by generating and characterizing markers of early vascular cell states as well as markers for intracellular structures. The preprocambial markers, Athb8-GUS and CycA2;1-GUS, suggest that specification to a preprocambial cell fate is progressive. Additionally, the expression of all early markers is invariably continuous. Prior to differentiation, changes in the intracellular polarity of preprocambial cells must be occurring. The three intracellular markers chosen for analysis identify elements of the cytoskeleton, microtubules and microfilaments, and the putative auxin efflux carrier, PIN1. Early lateral root development was chosen to test and characterize markers for these intracellular factors. The microtubule and microfilament markers were not expressed in early lateral root development, demonstrating the need for using alternative promoters in future marker constructs.
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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 | 0.001 |
| 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".