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Record W4402839005 · doi:10.1111/evj.14365

Transplacental transmission of <i>Theileria equi</i>

2024· article· en· W4402839005 on OpenAlexaboutno aff

Bibliographic record

VenueEquine Veterinary Journal · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsnot available
Fundersnot available
KeywordsTheileriaVirologyTransmission (telecommunications)TransplacentalBiologyMedicinePregnancyComputer scienceGeneticsFetusTelecommunicationsWorld Wide Web

Abstract

fetched live from OpenAlex

bacterial, fungal, mixed (bacterial and fungal) or viral and the aetiological pathogens were described.Results: Nine facilities recorded an infectious aetiology for 1 to 335 cases, with a total of 474 abortions of 851 (55.4%).The main infectious causes were bacterial with 389 cases (82.1%), including a quarter with macroscopic placentitis and approximately 40 bacterial species were isolated.Viral infections were identified in 42 cases (8.9%), with EHV-1 identified in the vast majority (90%).Mixed and fungal infections were diagnosed in 13 (2.7%) and 7 cases (1.5%), respectively.No specific pathogens was identified in 23 cases (4.8%) despite the presence of macroscopic infectious lesions. Main limitations:The data were only based on abortions that were examined at necropsy.It was not possible to compare facilities because case numbers in some facilities were low. Conclusions:The rate of infectious abortions was similar to that of previous studies conducted in France, Italy and the USA, but higher than that of the United Kingdom and Canada.Proportions of bacterial and viral infections have also varied from one study to another.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.738
Threshold uncertainty score0.996

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)0.0050.000

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 head0.018
GPT teacher head0.275
Teacher spread0.257 · 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.

Study designBench or experimental
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

Citations0
Published2024
Admission routes1
Has abstractyes

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