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Record W2108027276 · doi:10.1177/104063870301500316

<i>Citrobacter Freundii</i> Septicemia in Two Dogs

2003· article· en· W2108027276 on OpenAlexaff
Jean-René Galarneau, Mado Fortin, Jean‐Martin Lapointe, Christiane Girard

Bibliographic record

VenueJournal of Veterinary Diagnostic Investigation · 2003
Typearticle
Languageen
FieldMedicine
TopicStreptococcal Infections and Treatments
Canadian institutionsUniversité de MontréalCegep de Saint Hyacinthe
Fundersnot available
KeywordsPuppyMedicineCitrobacter freundiiPeritonitisPneumoniaMeningitisPathologyHepatitisBacteremiaGastrointestinal tractPetechial rashInternal medicineMicrobiologyBiologySurgeryKlebsiella pneumoniae

Abstract

fetched live from OpenAlex

A 4-month-old Maltese puppy and a 7.5-year-old Collie were diagnosed with septicemia associated with Citrobacter freundii. The puppy died soon, after developing weakness and mucohemorragic diarrhea. The Collie had immune-mediated hemolytic anemia and thrombocytopenia and was treated with immunosuppressive drugs before being euthanized. Gross examination of the puppy revealed mucohemorrhagic intestinal contents. Focal necrotic hepatitis, fibrinous peritonitis, interstitial pneumonia, and hemorrhagic gastrointestinal contents were observed in the older dog. Histologically, there was a diffuse, moderate, histiocytic meningitis in the puppy and a focal fibrinonecrotic hepatitis in the adult dog. Lesions in both dogs contained numerous gram-negative rods. Citrobacter freudii is a potential cause of monomicrobic bacteraemia-septicemia in puppies or immunocompromized adult dogs. The gastrointestinal tract is probably the main site of entry.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.034
GPT teacher head0.328
Teacher spread0.293 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations20
Published2003
Admission routes1
Has abstractyes

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