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Record W2033128941 · doi:10.1080/15538360802526514

‘Danhua Xiangshuili’—A New Pear that Does Not Need Fruit Thinning

2008· article· en· W2033128941 on OpenAlexaff
Yujiang Gao, Jiaxian Hou, Long Cui, Bangshan Dai, Shahrokh Khanizadeh

Bibliographic record

VenueInternational Journal of Fruit Science · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Physiology and Cultivation Studies
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsPEARThinningHorticultureBiologyBotany

Abstract

fetched live from OpenAlex

Fruit thinning is a cultural practice used to improve fruit quality and size, but it is time-consuming. The application of thinning chemicals to replace hand-thinning is costly and results in an unstable effect. It also causes environmental concerns. ‘Danhua Xiangshuili’ is a bud mutation of ‘Yanbian Daxiangshui’ discovered in experimental orchards at the Pomology Institute, Academy of Agricultural Sciences of Jilin Province (latitude 43.5°N, longitude 124.8°E). Overall, 92% of flowers born on this cultivar are solitary and about 8% are in groups of two or three flowers on each inflorescence. Fruits are medium to large (144 g) in size and born on twigs with no leaves, which helps produce a full-colored pear at ripening. The soluble solid content is 13.0% at maturity, which occurs on 10 Sept. in the Gongzhuling area (latitude 43°N, longitude 124°E).

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.879
Threshold uncertainty score0.299

Codex and Gemma teacher scores by category

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 communication0.0000.001
Open science0.0010.000
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 head0.057
GPT teacher head0.269
Teacher spread0.212 · 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 teacher head, 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

Citations0
Published2008
Admission routes1
Has abstractyes

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