Application of a new method for the sensitive detection and quantification of acyl-CoA esters in <i>Arabidopsis thaliana</i> seedlings and mature leaves
Bibliographic record
Abstract
We report a novel, highly sensitive and selective method for the detection and quantification of acyl-CoA esters from Arabidopsis thaliana. Extracted acyl-CoA esters were derived to their fluorescent acyl-etheno-CoA esters, separated by ion-paired reversed-phase HPLC, and detected fluorometrically. We report the composition and concentration of the acyl-CoA pool in mature A. thaliana leaves, and during storage-lipid breakdown in 2-day-old seedlings. The concentrations measured were in the 1-4 microM range for both tissue types. To our knowledge, this is the first time that reliable estimates of acyl-CoA ester concentrations have been made for plants.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".