Effect of ultrasonication and grinding on the determination of lipid class content of microalgae harvested on filters
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
To ensure complete lipid extraction of algal samples collected on glass fiber filters, one must facilitate the access of extracting solvent to the lipids by using ultrasonication, grinding, or a combination of these two methods. This study examines the effect of these three treatments, in combination with storage time and sampling volumes, on the determination of lipid class composition of the diatom Chaetoceros gracilis. The TAG level was significantly influenced by treatment in relation to either storage time or sampling volume. FFA and other degradation products increased markedly with storage time at the expense of TAG and phospholipids (PL). Finally, sampling volume and storage time interacted in their effects on TAG and PL contents in an inverse manner.
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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 | 0.001 | 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 it