MétaCan
Menu
Back to cohort
Record W2850077806 · doi:10.5539/jas.v10n8p80

Morphological and Chemical Analysis of 16 Avocado Accessions (Persea americana) From China by Principal Component Analysis and Cluster Analysis

2018· article· en· W2850077806 on OpenAlexvenueno aff
Yu Ge, Funing Ma, Bin Wu, Lin Tan

Bibliographic record

VenueJournal of Agricultural Science · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Physiology and Cultivation Studies
Canadian institutionsnot available
FundersCentral Public-interest Scientific Institution Basal Research Fund for Chinese Academy of Tropical Agricultural SciencesChinese Academy of Tropical Agricultural Sciences
KeywordsPerseaPalmitic acidSubtropicsBiologyOleic acidLinoleic acidFatty acidPrincipal component analysisBotanyHorticultureRambutanChemical compositionFood scienceChemistryBiochemistryMathematics

Abstract

fetched live from OpenAlex

The physicochemical composition of avocado fruit has been well reported, but there is little detail on Chinese native avocado varieties. The present study investigated the morphological characteristics, oil contents, and fatty acid compositions of 16 avocado accessions grown in the tropical and subtropical regions of China. Eight fatty acids were identified and quantified by GC-MS. The major fatty acids of avocado pulp were palmitic, oleic, and linoleic acids, accounting for 78-91% of the total fatty acids content. The analysis of one-way variance (ANOVA) of the data revealed morphological and chemical differences between most of avocado accessions. Moreover, 16 avocado accessions were distinguished through a PCA scores scatter plot and cluster analysis based on fatty acid profiles. The results identified some remarkable characteristics of avocado accessions from different places of collection.

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 score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.250
Teacher spread0.236 · 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

Citations4
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Agricultural ScienceSame topicPlant Physiology and Cultivation StudiesFrench-language works237,207