PERFIL CIENTOMÉTRICO DA QUIMIOMETRIA NO BRASIL
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
CIENTOMETRIC PROFILE OF THE CHEMOMETRICS IN BRAZIL. The interest of researchers in understanding the stage of development of specific areas of knowledge is a way to understand their scientific maturity and their capacity for consolidation. This “popularization” of the knowledge of researchers working in a specific area of knowledge also allows a greater ability to recognize where science is produced and which actors participate in this effort from a series of evaluation parameters, indicative of the productivity of researchers through the number of articles published and the consistency of production and its relationship with the impact of this in the scientific community through citations of articles. Chemometrics, a science that relates measurements obtained in chemical systems or processes through the application of statistical and mathematical methods, an area created 50 years ago, still does not have a study evaluating the evolution of the area in qualitative and quantitative terms. In this sense, this article aims to present data from the profile of Brazilian scientific production in Chemometrics, as well as the training of human resources, in its scientometric aspects to allow an understanding of the dynamics and contemporary reality of the area. In terms of national scientific production is growing proportionally faster than the rest of the world, placing Brazil among the leading producers of knowledge in the area. Researchers in Chemometrics working in Brazil not only publish a significant number of articles, but these publications have a large number of citations, in addition to the training of human resources spread throughout Brazil, distributed among most graduate courses in chemistry, but not restricted to this area. Finally, the area of Chemometrics, which is about fifty years old, is mature, with numbers of publications and training of human resources, but it is noted that a plateau has not been reached in these two numbers, because the critical mass of researchers working in the area is still increasing.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.056 | 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 it