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.
Bibliographic record
Abstract
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.056 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it