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Record W1837805403

Undifferentiated fever in a Southern Alberta feedlot calf

2011· article· en· W1837805403 on OpenAlexaboutno aff
M. D. Curler

Bibliographic record

VenueeCommons (Cornell University) · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Disease Management and Epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsFeedlotAnimal scienceBiology
DOInot available

Abstract

fetched live from OpenAlex

On the morning of November 3, 2010, a mixed breed stocker calf at 57 days on feed, housed in a pen of 300, at a 30,000 head Southern Alberta feedlot, was observed to be depressed, gaunt, and reluctant to move. The heifer calf was segregated from pen mates and brought to an onsite hospital facility for further evaluation. Examination of treatment history revealed a previous episode of undifferentiated fever at 35 days on feed. Physical examination resulted in a problem list consisting of dehydration, depression, dyspnea, fever, inappetance, and nasal discharge. Subjective evaluation resulted in classification of the calf as being "sick." However, no clinical signs could be attributed to any organ system other than the respiratory tract, resulting in a presumptive diagnosis of undifferentiated fever (UF). Upon arrival at the feedlot, the heifer had been assessed to be at high risk of developing undifferentiated fever, due to exposure to risk factors including: purchase at an auction market, comingling with animals from multiple sources, and being of a young age. Metaphylactic treatment with tilmicosin (Micotil) was performed. In keeping with the feedlot's health management protocols, initial treatment for undifferentiated fever, at 35 days on feed, consisted of subcutaneous injection with tulathromycin (Draxxin). The undifferentiated fever relapse was treated with enrofloxacin (Baytril). Undifferentiated fever, also commonly referred to as bovine respiratory disease or shipping fever, is the most economically important disease affecting feedlot animals in North America (Booker et al, 1998). Bovine respiratory disease accounts for 70-80% of morbidity and 40-50% of mortality in feedlot animals. Major costs associated with the disease are attributed to preventative measures, treatment, and death loss (Jim et al, 1993). UF is a multifactorial disease, caused by a combination of viral and bacterial infectious agents in conjunction with a suppressed immune system, due to environmental and physiologic factors (Snowder et al, 2006). The major viral pathogens include bovine herpesvirus-1, bovine respiratory syncytial virus, bovine parainfluenza type 3, and bovine viral diarrhea virus. Bacterial pathogen implicated in bovine respiratory disease are Mannheimia haemolytica, Pasteurella multocida, Histophilus somni, and Mycoplasma bovis (Griffin et al, 2010). Control efforts have focused on reducing stress to the animals as they transition to the feedlot, as well as medical intervention, including vaccination and antibiotic usage (Booker et al, 1998).

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.997

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)0.0040.001

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 head0.076
GPT teacher head0.181
Teacher spread0.105 · 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 designObservational
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
Published2011
Admission routes1
Has abstractyes

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