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Record W2164843596

El césped, un producto basado en el conocimiento Turfgrass, a product based on knowledge

2007· article· es· W2164843596 on OpenAlexaboutno aff
J. Suárez, Alberto Gómez, Ricardo Daniel Medina, Fiona Coll

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2007
Typearticle
Languagees
FieldBusiness, Management and Accounting
TopicBusiness, Education, Mathematics Research
Canadian institutionsnot available
Fundersnot available
KeywordsProduct (mathematics)Environmental scienceMathematics
DOInot available

Abstract

fetched live from OpenAlex

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. 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.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.017
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0170.003

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 head0.196
GPT teacher head0.537
Teacher spread0.342 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2007
Admission routes1
Has abstractyes

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