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Record W3145217934

Analysis of World Cherry Research Trend Based on Bibliometrics

2014· article· en· W3145217934 on OpenAlex
Feng Li-jua

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Agricultural Science and Technology · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Physiology and Cultivation Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBibliometricsAgricultureGeographyAgricultural sciencePolitical scienceLibrary scienceAgricultural economicsBiologyComputer scienceEconomics
DOInot available

Abstract

fetched live from OpenAlex

Based on the Web of Science database and using biblionmetric method,this paper analyzed the trend of published cherry literature in the world from 2000 to 2013,and also reviewed the research institutes,core authors,key journals,subject categories and research hot spots of the countries with published paper quantity ranking at world top 5.The result indicated that there were 1 794 cherry research papers all over the world.The paper production as a whole showed a rising trend,with the top quantity in 2012,which was almost 2.288 times of that in 2005.The top 5countries were the United States,Turkey,Spain,Germany and Italy.The United States published 376 papers,taking the first place.Except Germany,the other 4 coutries were among the world top 5 in cherry production,illustrating that their strong scientific research ability did promote the development of cherry industry.The world top 5 institutions with high cherry academic paper quantity were USDA-ARS,Michigan State Unversity,Washington State University,Agriculture Agri-Food Canada,and University of Extremadura in Spain.The core authors with high academic achievement were mainly from the United States. Scientia Horticulturae, Hortscience, Journal of Agricultural and Chemistry, Postharvest Biology and Technology and Food Chemistry were the major journals in this field.The main disciplines of these published cherry literature were agriculture,food science technology,plant science,chemistry and environmental science ecology.The research hot spots were focused on fruit quality,disease,anthocyanin,rootstock and post harvest mechanism.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesBibliometrics
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.940
Threshold uncertainty score0.964

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.056
Science and technology studies0.0000.001
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 head0.055
GPT teacher head0.308
Teacher spread0.254 · 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