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About this Issue

2025· article· en· W4406150906 on OpenAlexaboutno aff
Mauro Bertotti

Bibliographic record

VenueBrazilian Journal of Analytical Chemistry · 2025
Typearticle
Languageen
FieldEngineering
TopicAdvanced Chemical Sensor Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsChemometricsNanotechnologyComputer scienceData scienceMicrofluidicsChemistryAnalytical Chemistry (journal)Materials scienceEnvironmental chemistry

Abstract

fetched live from OpenAlex

This issue of BrJAC features an insightful Interview with Prof. Ralph Sturgeon, an emeritus researcher at the National Research Council in Canada. His extensive contributions to inorganic analytical chemistry, particularly in trace element analysis, vapor generation, organometallic speciation, and the production of Certified Reference Materials, are of major importance to the field. In this interview, Prof. Sturgeon shares his personal and professional academic and scientific journey, inspiring our readers. The development of analytical methods that provide fast and accurate responses at lower costs is a growing demand. With the increasing globalization of trade, the need for comparable analytical data worldwide has also become a requirement. Therefore, modern analytical chemistry depends heavily on designing optimal measurement procedures and experiments to extract maximum relevant chemical information. To advance knowledge on this issue, the Point of View presents an exciting discussion on the interface between chemometrics and chemical metrology. Prof. Elcio Cruz de Oliveira offers valuable insight into this critical issue, presenting data on the use of the words "Chemometrics", "Metrology", and "Uncertainty" in 416 articles published in the Brazilian Journal of Analytical Chemistry from 2010 to 2024. Microfluidics is a system that manipulates small amounts of fluids through channels ranging from tens to hundreds of micrometers in size. As a result, processes that typically require a whole laboratory can be integrated into a simple, micro-sized system. The Letter from Dr. Reverson F. Quero, Prof. José Alberto F. da Silva, and Prof. Dosil P. de Jesus shows how 3D printing has advanced the manufacturing of microfluidic devices. As highlighted in the last BrJAC Editorial, the journal's impact factor increased from 0.7 to 1.1. This achievement not only reflects the publication of high-quality articles based on rigorous research methods but also considers the journal's growing visibility, which attracts more submissions worldwide. I am delighted to note that of the five Articles published in this issue, four come from abroad (two from India, one from Malaysia, and one from Morocco). These articles are based on thorough studies, utilizing a diverse range of techniques such as spectrophotometry, potentiometry, PCR analysis, scanning electron microscopy, Fourier transform infrared spectroscopy, and X-ray diffraction. This broad array of techniques clearly shows the increasing importance of analytical chemistry as a central science driving scientific advancements. The growing interest of researchers worldwide in BrJAC demonstrates that our journal is an excellent vehicle for disseminating high-quality information across all aspects of analytical chemistry. I hope you enjoy this issue!

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.404
Threshold uncertainty score0.633

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.242
Teacher spread0.237 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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
Published2025
Admission routes1
Has abstractyes

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