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Molecular Characterization of Pasterulla Multocida in Fattening Bovine

2024· article· en· W4396724614 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEgyptian Journal of Veterinary Science · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial Metabolism and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsPasteurella multocidaCharacterization (materials science)BiologyChemistryMaterials scienceNanotechnologyGenetics

Abstract

fetched live from OpenAlex

Pasteurella multocida infection has serious complications for both human and animal health. In bovines, it is the predominant cause of fatal pneumonia, with a mortality rate up to 100%, especially in severe undiagnosed cases. Therefore, this study was conducted for molecular identification and characterization of P. multocida in nasal swabs and pneumonic lung tissue in cattle calves less than one year suffered from pneumonia and respiratory disorders. The detection of P. multocida was higher in pneumonic lung tissue (40%) than in nasal swabs. Only 37 out of 109 collected samples were positive for P. multocida using bacteriological culture and those samples were confirmed by PCR targeting Kmt1 gene. The phylogenetic analysis of local P. multocida isolate revealed close relation with other P. multocida strains from bovine from Egypt, China, USA and Canada. Consequently, establishing a potent epidemiological surveillance program is necessary to decrease the spreading of disease and the economic losses among fattening calves.

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.

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)0.000
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 score0.030
Threshold uncertainty score0.237

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.012
GPT teacher head0.281
Teacher spread0.269 · 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