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Role of silicea on canine feline acne-the Labrador retriever a case study

2019· article· en· W2965207770 on OpenAlexaboutno aff
Skandhan S Kumar

Bibliographic record

VenueInternational Journal of Homoeopathic Sciences · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
Topicmelanin and skin pigmentation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLabrador RetrieverAcneHomeopathyAlternative medicineVeterinary medicineDermatologySurgeryPathology

Abstract

fetched live from OpenAlex

Background: This article tells us about role of Silicea an Homoeopathic drug on canine Feline acne, explains what actually is Feline acne and further tells us about the efficacy of Homoeopathic drug Silicea on Feline Acne. This article is an evidence-based study as here a case of a canine The Labrador Retriever is explained which was treated with Silicea for Feline Acne. Methods: Various old literatures, previous journals and Homoeopathic Materia Medica text books about Silicea was referred then based on the symptom similarity and available literature Silicea had a totality matching to Feline acne thus was prescribed on a canine to know its role in Veterinary Homoeopathy.Conclusion: This article gives a light towards Veterinary Homoeopathy helping us to serve the Animals with least side effects and improving their quality of life and reduce their pain it’s all about giving Hope to the hopeless canines.Helps the Homoeopathic physician to know the importance of Silicea in his daily practice and thus helps to provide the canines a holistic care which helps the dynamic spiritual Vital Force to be in equilibrium even in the canines as they also possess the dynamic most adorable Vital force in them.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.098
Threshold uncertainty score0.167

Codex and Gemma teacher scores by category

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

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 head0.012
GPT teacher head0.307
Teacher spread0.295 · 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 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
Published2019
Admission routes1
Has abstractyes

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