COMPARAÇÃO DE DOIS SISTEMAS MATRIX-ASSISTED LASER DESORPTION IONIZATION - TIME OF FLIGHT / MASS SPECTROMETRY PARA IDENTIFICAÇÃO DE BACTÉRIAS ISOLADAS DE UMA INDÚSTRIA PRODUTORA DE IMUNOBIOLÓGICOS DO RIO DE JANEIRO
Bibliographic record
Abstract
A identificao de microrganismos isolados no controle microbiolgico de produo farmacutica fornece informaes importantes para rastrear as fontes de contaminao, implementar aes corretivas adequadas, e compreender a composio da microbiota. A utilizao de mtodos de identificao rpidos e eficazes pode evitar o descarte de lotes sem necessidade ou liberao de produtos sem qualidade. Estudos utilizando a metodologia Matrix-Assisted Laser Desorption Ionization -Time of Flight / Mass Spectrometry (MALDI-TOF/MS) amostram-se como uma boa opo para a identificao de linhagens isoladas em indstrias, pela rapidez e pela acurcia dos resultados. A tcnica MALDI-TOF/MS rpida, mostra uma elevada especificidade e uma excelente sensibilidade. OBJETIVOS: O objetivo deste estudo foi comparar dois sistemas MALDI-TOF/MS na identificao de linhagens bacterianas isoladas a partir de uma indstria farmacutica produtora de imunobiolgicos localizada no Rio de Janeiro/RJ. METODOLOGIA: Foram utilizadas 63 linhagens isoladas no perodo de 2010 a 2021, cultivadas em gar Triptona de Soja, que foram analisadas nos equipamentos MALDI Biotyper (Bruker) e VITEK MS (bioMrieux), de acordo com as instrues dos
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".