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Record W4214589580 · doi:10.1055/a-1734-5641

Manchmal gerinnt aber auch gar nichts – Gerinnungsstörungen beim Hund

2022· article· de· W4214589580 on OpenAlexaboutno aff
Annemarie Baur-Kaufhold

Bibliographic record

Venuekleintier konkret · 2022
Typearticle
Languagede
FieldNursing
TopicVitamin K Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGynecologyPhilosophyMedicine

Abstract

fetched live from OpenAlex

All articles of this category Nach einer unspektakulären Kastration eines jungen Rüden kommt es zu ungewöhnlichen Nachblutungen. Ein Labrador hat im Park vor ein paar Tagen etwas gefressen und zeigt nun Apathie, Hämatome und Husten und der im Notdienst vorgestellte Patient hat fast keine gemessenen Thrombozyten. Szenarien, die nicht selten in der Praxis und Klinik vorkommen und deren bloße Vorstellung schon Bauchschmerzen auslösen kann. Publication History Article published online: 25 February 2022 © 2022. Thieme. All rights reserved. Georg Thieme Verlag KG Rüdigerstraße 14, 70469 Stuttgart, Germany

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.189
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0020.004
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0100.003

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 head0.017
GPT teacher head0.278
Teacher spread0.261 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2022
Admission routes1
Has abstractyes

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