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Record W2164595448 · doi:10.5326/jaaha-ms-5576

Resolution of a Proteinuric Nephropathy Associated with Babesia gibsoni Infection in a Dog

2011· article· en· W2164595448 on OpenAlexaboutno aff
Dennis J. Slade, George E. Lees, Brian R. Berridge, Fred J. Clubb, Leslie A. Kuczynski, Meryl P. Littman

Bibliographic record

VenueJournal of the American Animal Hospital Association · 2011
Typearticle
Languageen
FieldImmunology and Microbiology
TopicRabies epidemiology and control
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLethargyPolyuriaAzotemiaBabesiaBabesiosisNephropathyPathologyImmunologyInternal medicineEndocrinologyRenal functionDiabetes mellitus

Abstract

fetched live from OpenAlex

A 4 yr old male castrated Labrador retriever was evaluated for a short history of inappetance, lethargy, small-bowel diarrhea, polyuria, and polydipsia. Clinicopathologic abnormalities were consistent with protein-losing nephropathy and renal azotemia. Expansive infectious disease testing implicated Babesia gibsoni via whole blood polymerase chain reaction. Renal histopathology results were consistent with membranoproliferative glomerulonephritis and immune complex deposition. The dog was treated with azithromycin, atovaquone, and one dose of corticosteroids/cyclophosphamide. Three months after therapy was completed, the dog was clinically healthy, and all clinicopathologic abnormalities (including Babesia species polymerase chain reaction) had resolved. Atypical presentations of Babesia gibsoni should be considered with proteinuric nephropathy.

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)0.001
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 score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
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 head0.007
GPT teacher head0.212
Teacher spread0.205 · 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

Citations15
Published2011
Admission routes1
Has abstractyes

Explore more

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