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Record W2328449115 · doi:10.1055/s-0034-1373473

T1-Mapping zur Beurteilung renaler Pathologien nach Ischämie induziertem akutem Nierenversagen im Mausmodell – Korrelation mit der Histologie

2014· article· de· W2328449115 on OpenAlex
Matti Peperhove, Matthias Gutberlet, D Hartung, M Meier, Martin Mengel, S Tewes, Amelie Barrmeyer, Frank Wacker, F. Gueler, K Hueper

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

VenueRöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren · 2014
Typearticle
Languagede
FieldMedicine
TopicChronic Kidney Disease and Diabetes
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsGynecologyMedicine

Abstract

fetched live from OpenAlex

Der renale Ischämie-Reperfusions-Schaden ist eine häufige Ursache des akuten Nierenversagens (ANV). Er führt zu Entzündung, Gewebeödem, Tubulusschädigung und, abhängig vom Schweregrad, zur chronischen Niereninsuffizienz. Ziel war es, zu untersuchen, ob das T1-Mapping die Beurteilung renaler Pathologien im Mausmodell des ischämischen ANV ermöglicht.

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)0.002
metaresearch head score (Gemma)0.001
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 categoriesMeta-epidemiology (narrow), Research integrity, Insufficient 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 score0.472
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0020.004

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 head0.028
GPT teacher head0.266
Teacher spread0.238 · 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