MétaCan
Menu
Back to cohort
Record W2385197829

Analysis on Fatty Acids of the Ampelosis grossedentata by GC-MS

2013· article· en· W2385197829 on OpenAlexvenueno aff
N Zhang

Bibliographic record

VenueSeed · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicPhysical Activity and Education Research
Canadian institutionsnot available
Fundersnot available
KeywordsStearic acidOleic acidPalmitic acidChemistryLinoleic acidFatty acidFood scienceGas chromatography–mass spectrometryExtraction (chemistry)ChromatographyBiochemistryOrganic chemistryMass spectrometry
DOInot available

Abstract

fetched live from OpenAlex

Objective: To explore the content of the fatty acids of Ampelosis grossedentata,and compare it with other harvested parts of the plant. Methods: The fatty acids were extracted by Soxhlet extraction from Ampelosis grossedentata. The chemical compositions of extracts were analyzed by GC-MS technique. Results: The content of oleic acid,linoleic acid of nucleus of the seed and episperm from Ampelosis grossedentata are higher than that of others. The order from low to high of the relative content of palmitic acid,oleic acid,stearic acid are nucleus of the seed,episperm,stems and leaves,while the content of linoleic acid is just the opposite. Conclusions: The content of unsaturated fatty acids from Ampelosis grossedentata seeds is higher than that of others,which has great value in exploitation and utilization.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.015
GPT teacher head0.270
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueSeedSame topicPhysical Activity and Education ResearchFrench-language works237,207