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Record W2319309398 · doi:10.1055/s-0033-1341734

Langzeitwirkung von Dapagliflozin über einen Zeitraum von 104 Wochen bei Patienten mit Typ-2-Diabetes und unzureichender Blutzuckerkontrolle durch Insulin

2013· article· de· W2319309398 on OpenAlexaff
Katja Rohwedder, John Wilding, Vincent Woo, Jennifer Sugg, Shamik Parikh

Bibliographic record

VenueDiabetologie und Stoffwechsel · 2013
Typearticle
Languagede
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMedicineDapagliflozinDiabetes mellitusEndocrinologyType 2 diabetes

Abstract

fetched live from OpenAlex

Hintergrund und Ziele: Der Natrium-Glukose-Cotransport (SGLT2)-Inhibitor Dapagliflozin (DAPA) erhöht die Glukoseausscheidung mit dem Harn und verringert Hyperglykämie bei Typ-2-Diabetes, und zwar unabhängig von der Insulinsekretion oder -aktivität.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.373
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.011

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 head0.019
GPT teacher head0.263
Teacher spread0.243 · 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
Published2013
Admission routes1
Has abstractyes

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