Detecção de Salmonella em alimentos crus de origem animal empregando os imunoensaios rápidos TECRATM Salmonella VIA, TECRATM Salmonella UNIQUE e o método convencional de cultura
Bibliographic record
Abstract
A presença de Salmonella em 200 amostras de alimentos crus de origem animal foi investigada empregando-se os dois ensaios imunoenzimáticos rápidos TECRA™ Salmonella VIA e TECRA™ Salmonella UNIQUE (TECRA Diagnostics, Rosewille, NSW, Australia) e o método de cultura convencional empregado rotineiramente no Instituto Adolfo Lutz, São Paulo, SP. Quarenta e cinco amostras (22.5%) foram Salmonella positivas por pelo menos um dos três métodos. O número de amostras positivas de acordo com o método analítico foi 34 (75,6%) para o método de cultura convencional, 29 (64,4%) para TECRA™ Salmonella VIA e 27 (60.0%) para TECRA™ Salmonella UNIQUE. O método de cultura convencional detectou quatro amostras positivas não detectadas por nenhum dos outros dois métodos rápidos. TECRA™ Salmonella UNIQUE detectou sete amostras positivas não detectadas pelos demais métodos. Uma amostra foi positiva apenas pelo método TECRA™ Salmonella VIA. Considerando todos os resultados (positivos e negativos) o teste de qui quadrado de McNemar indicou que as diferenças entre os resultados obtidos pelos métodos rápidos, quando comparados aos obtidos pelo método convencional, não foram estatisticamente significativas (p>0.05).
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".