MétaCan
Menu
Back to cohort

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 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)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.513
Threshold uncertainty score0.731

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0080.004
Open science0.0020.003
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.4870.323

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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueBrazilian Journal of Analytical ChemistrySame topicAdvanced Chemical Sensor TechnologiesFrench-language works237,207