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Record W6950441210 · doi:10.5281/zenodo.7393097

Diagnosis of Clostridium botulinum intoxication in Bovine in field condition

2022· article· en· W6950441210 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typearticle
Languageen
FieldMedicine
TopicBotulinum Toxin and Related Neurological Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsBotulismActivated charcoalClostridium botulinumHerdDairy cattleOutbreakCharcoalBeef cattle

Abstract

fetched live from OpenAlex

ABSTRACT In an outbreak of Clostridium botulinum in dairy cattle, 121 cattle affected over a period of three months with the following symptoms anorexia, adipsia, restlessness, reluctance to move and animals when forced to walk showed stumbling, knuckling and staggering. The clinical samples like rumen fluids, dung, blood, peripheral blood smear and urines collected from all symptomatic cattles. The suspected cattle could be treated with intravenous administration of 10 to 15 litres of lactated Ringers solution and 5% dextrose per day and oral administration of activated charcoal at a rate of 1 g/kg, b.wt, PO After about 30 minutes, sodium sulphate (1 g/kg b.wt, PO) could be administered. Key words: Clostridium botulinum in dairy cattle – Staggering-Rumen fluid- Activated charcoal REFERENCES Bohnel H.,Schwagerick,B & Gessler,F(2001). Visceral botulism, a new form of bovine Clostridium botulinum toxication. J. Vet. Med. Serie, , 48, 373-383. Braun U.,Feige K., Schweizer G., Pospischil (2005). Clinical finding of treatment of 30 cattle with botulism. Veterinary Record, 156: 438-441. Dirksen G(2002a). Mangelhafte Digestion und syntheseistungen der Vormagen flora and fauna. In innere medizin und chirurgie des Rindes. 4th edition pp 371-372. Kataria AK, Kataria AK, Gouri AA, Vyas SK and Gahlot AK(2003). An investigation of botulism in cattle in Jaisalmer and Jadhpur district. Vet.Pract, 4(2):113-115. Kataria AK., Kataria N,Tanwar RK and Gahlot AK(2005). Botulism A dreaded disease of man and animal. Vet.Pract, 6(2): 176-184. Martins (2003). Clostridium botulinum type D intoxication in a dairy herd in Ontario. Can. Vet.Journal, 44(6): 943-495. Rodostits OM.,Gay CC, Blood DC and Hinchcliff KW(2000). Veterinary medicine, 9th edition: WB Saunders 2000: 757-760. Swapna Gurrapu, Estari Mamidala. (2017). In vitro Antibacterial Activity of Physagulin Isolated From Physalis angulata Fruits Against Pathogenic Clinically Important Bacteria. International Journal of Current Research. 9(8); 55482-55486. Tanwar RK,Kataria AK, Gouri AA, Vyas SK and Gahlot AK (2003). An investigation of botulism in cattle in Jaisalmer and Jadhpur district. Vet. Pract, 4(2): 113-115. Swapna Gurrapu and Estari Mamidala. Medicinal Plants Used By Traditional Medicine Practitioners in the Management of HIV/AIDS-Related Diseases in Tribal Areas of Adilabad District, Telangana Region. The Ame J Sci & Med Res.2016:2(1):239-245. doi:10.17812/ajsmr2101 Wilson R.B.,Boley, M.T & Corwin.B (1995). Presumptive botulism in cattle associated with plastic –packaged hay. J. of Vet. Diag. Invest,7: 167-169. V. Pranitha, G. Krishna and M.A Singara Chary. (2014) Evaluation of antibacterial and anifungal activity of fruiting Body extracts of Trametes versicolar, Biolife. 2(4):1181-1184

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.026
GPT teacher head0.264
Teacher spread0.238 · 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 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
Published2022
Admission routes1
Has abstractyes

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