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Mielograma na rotina laboratorial para a clínica de cães

2022· article· en· W4224488448 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePubVet · 2022
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Orthopedics and Neurology
Canadian institutionsCascades (Canada)
Fundersnot available
KeywordsChemistryPhilosophy

Abstract

fetched live from OpenAlex

The myelogram corresponds to the bone marrow evaluation and it represents an important resource in the dog’s clinics to determinate alterations in the blood circulation. Its basis is the assessment of bone marrow, which in adults is mainly present in flat bones such as the sternum and ribs, and its main function is hematopoiesis, the production of blood cells, which are red blood cells, leukocytes (granulocytes - neutrophils, eosinophils and basophils, agranulocytes - monocytes and lymphocytes) and platelets. The myelogram requires the correct collection of the bone marrow, and its analysis involves the assessment of cellularity, determination of the Myeloid:Erythroid ratio, assessment of iron reserves and research for parasites, the most common in canine species being Leishmania spp. and Ehrlichia spp. The search for alterations in the bone marrow is usually done when the patient has hematological abnormalities that are not explained by other routine tests. Its analysis and interpretation help the veterinarian to reach the correct diagnosis for the patient.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.660
Threshold uncertainty score0.999

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 science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.067
GPT teacher head0.335
Teacher spread0.268 · 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