El césped, un producto basado en el conocimiento Turfgrass, a product based on knowledge
Bibliographic record
Abstract
Se presenta un conjunto de resultados que, a partir de un proceso de I+D y de innovaciones tecnológicas y gerenciales, así como con la creación de un spin-off de base tecnológica, han generado un producto a ciclo completo (el césped y los servicios de encespado) que brinda la EEPF "Indio Hatuey", con una alta calidad y competitividad, lo cual evita que se tenga que contratar empresas extranjeras especializadas en obras complejas de encespado. Entre los clientes que han recibido los servicios se encuentran el Varadero Golf Club y varios putting green, el Estadio Latinoamericano y otros estadios de béisbol, obras de la Batalla de Ideas, así como numerosos hoteles y jardines en Varadero, Ciudad de La Habana y la cayería norte de Villa Clara. Esto posibilitó ingresos ascendentes a 1 186 800 CUC/USD una parte considerable fue aportada por firmas extranjeras y 3 878 300 MN, entre los años 1995 y 2006. Estos resultados se lograron en el marco de un proceso de enriquecimiento del patrimonio tecnológico y gerencial, en el cual han desempeñado un papel clave las relaciones con universidades y firmas de Canadá, Estados Unidos, Alemania, México y Costa Rica.<br>A group of results is presented which, from a process of R+D and technological and managerial innovations, as well as the creation of a spin-off of technological base, have generated a full-cycle project (turfgrass and turfing services) offered by the EEPF "Indio Hatuey", with high quality and competitiveness, which avoids hiring specialized foreign firms in complex turfing works. Among the clients that have received the services are the Varadero Golf Club and several putting green, the Latinoamericano Stadium and other baseball fields, social works, as well as many hotels and gardens in Varadero, Havana City and the northern keys of Villa Clara. This allowed incomes up to 1 186 800 CUC/USD a considerable part was contributed by foreign firms and 3 878 300 pesos, between 1995 and 2006. These results were achieved within an enriching process of the technological and managerial patrimony, in which the relationships with universities and firms from Canada, United States, Germany, Mexico and Costa Rica have played a key role.
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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 | 0.013 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.007 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.001 |
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".