Producción científica cubana sobre biofertilizantes: un análisis bilbiométrico en revistas extranjeras
Bibliographic record
Abstract
The article shows the evolution have had the Cuban investigation about biofertilizers in foreign journals, trought the use of bibliometrics indicators, in this case they have themselves in account production indicators, scientific collaboration, as well as, the microorganisms and the crops more often investigated in the 1999-2017 period. For the analysis of the data Excel, ToolInf and Ucinet 6.0 were used. It was published 55 articles about biofertilizer in the period, the year 2011 resulted to be the most productive, and the tendency is to keep the average of the three articles per year. The foreign journal in which the cuban authors have published about biofertilizers were: Mycotaxon, Revista Colombina de Biotecnologia and Revista Mexicana de Fitopatologia. The authors who more have published were Annia Hernandez Rodriguez, Eduardo Furrazola y Ricardo A. Herrera (†), as main authors. The national institutions what more incedence in the topics are INCA, UH and IES; and the intenational institutions of bigger collaboration are: KU Leuven (Belgica), Agriculture and Agri-Food Canada and CEPROBI-IPN (Mexico). The crops more approached in the period were: maize, rice, tomato, wheat and sugar-cane; the genus most frequently studied of biofertilizer microorganisms are: Glomus, Bacillus and Pseudomonas.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.005 |
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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".