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Record W2974560936 · doi:10.1139/cjas-2018-0224

Residues of antibiotics in milk: persistence and quality interference

2019· article· en· W2974560936 on OpenAlexvenueno aff
Janine F. Alves, Guilherme Henrique de Paula, Rânio C.F. Silva, Paulo Víctor Toledo Leão, Karen Martins Leão, Edmar Soares Nicolau, Marco Antônio Pereira da Silva

Bibliographic record

VenueCanadian Journal of Animal Science · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicPharmaceutical and Antibiotic Environmental Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsCeftiofurEnrofloxacinOxytetracyclineAntibioticsPenicillinTetracyclineFood scienceAnimal scienceMedicineCiprofloxacinChemistryBiologyMicrobiologyCephalosporin

Abstract

fetched live from OpenAlex

The objective of this study was (i) to analyze antibiotic residues, two which were beta-lactam antibiotics, one tetracycline, and one quinolone in the milk of lactating animals; (ii) to evaluate the interference of the drug ceftiofur which is considered as discard-zero. The SNAPduo™ ST Plus kit was used to evaluate the presence of beta-lactam antibiotics and tetracyclines in natural milk. Medications based on penicillin, ceftiofur, enrofloxacin, and oxytetracycline were used. As expected, the milk from control animals and animals administered with enrofloxacin did not present antibiotic residue because it is not one of the classes detected by the SNAPduo™ ST Plus kit, and thus it was used to prove the efficiency of the test. Ceftiofur, known as a “discard-zero” antibiotic, tested positive for the SNAPduo™ ST Plus kit and the BetaStar Combo ® “S” test. Chemical residues were detected in cow’s milk treated with different groups of antibiotics after the withdrawal time indicated in the package inserts of the medicines used.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.389
Threshold uncertainty score0.568

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.056
GPT teacher head0.296
Teacher spread0.240 · 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 designObservational
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

Citations19
Published2019
Admission routes1
Has abstractyes

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