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Record W4383894031 · doi:10.31533/pubvet.v17n7e1412

O uso da medicina integrativa no tratamento de desordens hematológicas: Relato de caso

2023· article· en· W4383894031 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePubVet · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPhytochemistry Medicinal Plant Applications
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHomeopathyHematological disordersAnemiaHemoglobinopathyGynecologyInternal medicineHemolytic anemiaAlternative medicinePathology

Abstract

fetched live from OpenAlex

Hematological disorders are extremely common in the veterinary medical clinic. As they are disorders that affect blood cells in general, there are numerous causes, but the most common are nutrition, parasitic microorganisms and autoimmune diseases. The objective of the present work was to report the case of a 13-year-old Labrador retriever dog with severe hematological disorders and severe anemia, where several differential diagnoses were attempted, but a definitive diagnosis was unsuccessful. Integrative therapies were selected, thus performing an evaluation of the animal and initiating treatment based on its results and laboratory alterations using the following techniques: acupuncture, chromotherapy, Chinese phytotherapy, homeopathy, moxibustion and vitamins. The study allowed us to conclude that the treatment was efficient in increasing cell counts of the hematopoietic system in general, obtaining a significant improvement in the animal's clinical condition.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.754
Threshold uncertainty score0.681

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.030
GPT teacher head0.266
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