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Record W2075375048 · doi:10.12735/as.v2i1p1

Differences in Fruit Quality and Plant Growth of ‘Shiranuhi’ Mandarin Trees, Planted and Top-Grafted Stock

2014· article· en· W2075375048 on OpenAlexvenueno aff
Doo-Gyung Moon

Bibliographic record

VenueAgricultural Science · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Physiology and Cultivation Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMandarin ChineseHorticultureStock (firearms)Plant growthBiologyQuality (philosophy)BotanyEngineeringLinguisticsPhilosophyMechanical engineering

Abstract

fetched live from OpenAlex

Differences in fruit characteristics (soluble solids content, acidity and fruit weight) and growth properties of fruiting branches in both planted and top-grafted stock for ‘Shiranuhi’ mandarin [(C. unshiu x C. sinensis) x C. reticulate] trees were determined when fruit was harvested. It was found that fruiting branch length, leaves and soluble solids contents tended to be higher in the planted stock compared with the top-grafted trees. Fruit diameter, fruit weight, stem end protrusion, pulp weight and pulp thickness were larger in the planted than top-grafted stock. However, titratable acidity was higher in the top-grafted than in the planted stock. These results suggest that planted stock should be cultivated as part of crop management for improvement of fruit quality and plant growth in ‘Shiranuhi’ mandarin trees.

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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.036
GPT teacher head0.238
Teacher spread0.201 · 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

Citations2
Published2014
Admission routes1
Has abstractyes

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