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Record W1513189946 · doi:10.1002/9781119602484.ch54

Postpartum Uterine Infection

2021· other· en· W1513189946 on OpenAlexaff
D. Dadarwal, Colin W. Palmer

Bibliographic record

VenueBovine Reproduction · 2021
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicReproductive Physiology in Livestock
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsEndometritisPyometraMetritisUterusIce calvingMedicineInvolution (esoterism)Postpartum periodGynecologyOvulationObstetricsPregnancyBiologyInternal medicineLactationHormone

Abstract

fetched live from OpenAlex

After calving, cows need to resume ovarian cyclicity and complete uterine involution in a timely fashion to improve their chances of becoming pregnant in a reasonable time frame. This chapter discusses risk factors, pathogenesis, diagnosis, treatment, and management of primary uterine diseases: metritis, endometritis, and pyometra in postpartum cows. m. Pyometra is the accumulation of purulent material in the uterine lumen, which persists due to the presence of a corpus luteum. The economic impacts of uterine infections during the postpartum period are related to treatment costs, milk production losses, and impaired fertility. Following calving, all cows experience uterine inflammation associated with the cleanup phase of uterine involution. Cows affected with endometritis have inflammation that is restricted to the mucosal and submucosal layers of the uterus. Evaluation of uterine fluid volume and echotexture is beneficial for identifying cows with clinical endometritis.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.479
Threshold uncertainty score0.993

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)0.0080.000

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 head0.023
GPT teacher head0.259
Teacher spread0.236 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2021
Admission routes1
Has abstractyes

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