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Record W7046646280

Desvio para a esquerda associado a compartimento medular de reserva dos neutrófilos não esgotado em cadelas portadoras de piometra

2014· other· en· W7046646280 on OpenAlexaboutno aff

Bibliographic record

VenueThe Scientific Electronic Library Online (Fundação de Amparo à Pesquisa do Estado de São Paulo) · 2014
Typeother
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsAnemiaGold standard (test)Labrador RetrieverMean value
DOInot available

Abstract

fetched live from OpenAlex

From fifteen female dogs with clinical diagnoses of pyometra, hematological exams were performed at three times: M0 (prior to the surgery), M24 (24h after ovarysalpingohisterectomy-OSH) and M48 (48h after OSH). Anemia was seen in 80% of the cases, characterized as mild normocytic normochromic type. The means of total leukocyte counts were 27.043, 57.940 and 40.139 céls/µL in M0, M24 and M48. A total of80% of the animals presented neutrophilic left shift in all moments. During medullar exams, the cellular, iron reserve and megakaryocytic concentration were raised as well as the ME ratio, showing a value of 26,3:1,0, probably due to the elevation of granular proliferation and maturation compartment, as the mean of the reserve compartment was within normal range. As 83% of the animals with neutrophilic left shift showed a melullary reserve compartment raised, it can be concluded that female dogs with piometra had left shift of neutrophils with disproportionally between compartments, without segmented medullar saturation.

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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.016
GPT teacher head0.278
Teacher spread0.263 · 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
Published2014
Admission routes1
Has abstractyes

Explore more

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