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Record W2891772225 · doi:10.21887/ijvsbt.v14i1.13010

Alpha-Cypermethrin Toxicity in a Labrador Dog: A Case Study

2018· article· en· W2891772225 on OpenAlexaboutno aff
J. J. Parmar, Neha Rao, AI Shah, D. M. Patel

Bibliographic record

Venue˜The œIndian journal of veterinary sciences and biotechnology · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPesticide Exposure and Toxicity
Canadian institutionsnot available
Fundersnot available
KeywordsCypermethrinPyrethroidPesticideToxicityToxicologyBiologyVeterinary medicineChemistryMedicineAgronomy

Abstract

fetched live from OpenAlex

Dogs may be exposed to pesticides used in and around the home. Pesticide toxicity is very common in pets when these drugs are used to control insects and ecto-parasites. Herbicides applied to lawns are also found to be toxic for dogs. Alpha-cypermethrin is an active pyrethroid of many insecticides and effectively controls a wide range of pests in agriculture. Pesticides with alpha-cypermethrin available in the market as a concentrate in suspension or mixed with other insecticides (Luty et al., 1998) comprise the alpha C isomers of cypermethrin which are considered to be two- to three-fold more toxic than cypermethrin and are one of the most effective pyrethroids (Hartnik et al., 2008). This communication reports a case of á-cypermethrin toxicity and its clinical management in a Labrador.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.482
Threshold uncertainty score0.381

Codex and Gemma teacher scores by category

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

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 head0.038
GPT teacher head0.287
Teacher spread0.249 · 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.

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
Published2018
Admission routes1
Has abstractyes

Explore more

Same venue˜The œIndian journal of veterinary sciences and biotechnologySame topicPesticide Exposure and ToxicityFrench-language works237,207