ANÁLISE CIENCIOMÉTRICA TEMPORAL COM REFERÊNCIA AOS MODELOS DIGITAIS DE ELEVAÇÃO – MDE: IMPORTÂNCIA E TENDÊNCIAS
Bibliographic record
Abstract
Com o aumento gradual das geotecnologias e o avanco cientifico relacionado as problematicas ambientais, estudos e trabalhos que estao se utilizando de modelos de elevacao, tem recebido acentuados estimulos. O objetivo deste trabalho foi realizar uma analise quantitativa temporal, por meio da tecnica da cienciometria, considerando o numero de citacoes que os termos: Digital Elevation Model – DEM e Digital Terrain Model DTM, receberam num periodo de 50 anos (1959 a 2009). Nessa pesquisa, foram inclusos 7314 artigos para DEM e 4.143 artigos para DTM, publicados em 6.758 revistas para e 3.525 revistas para o termo DTM. Desse modo, foi possivel constatar que pesquisadores de varias nacionalidades vem trabalhando os temas propostos, com predominio daqueles provindos de paises desenvolvidos (Alemanha, Canada, China, EUA e Italia). No Brasil, a producao dos temas, embora ainda seja pequena, e coincidente com o resultado obtido para outros temas analisados por meio da mesma tecnica de pesquisa. Com esse pressuposto, e necessario que haja um maior investimento na area, para que dessa forma a producao cientifica no pais venha a aumentar, principalmente ao que se refere ao objeto deste estudo.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".