Bibliographic record
Abstract
The composition of fatty acids in rude fat which was extracted from small tomato seeds and modified to methyl esters were detected by Gas chromatography(GC),using supelco 37 fatty acid methyl ester Mixture(37 FAME) as control.The result showed that a fast analysis method was established for detecting relative percentage content of fatty acids in a small tomato seeds.Rude fat was extracted from a 4mg sample using isooctane for 5 minutes,and it was esterified using potassium hydroxide-methanol solution(2 mol / L) for 5minutes,then the solution was injected into the GC system.Using this method,the work which usually need several hours can be completed in 20 mins now,thus lots of time can be saved.The value of fatty acid composition in tomato seeds are not affected by Sample Weight,crude fat extraction time and fatty acid esterification time.Comparing this method with traditional method(GB / T 5009.6-2003,GB / T 17376-2008 5 ester exchange method) for detecting fatty acids composition,it was confirmed that the results got from this method was accurate and feasible.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".