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Record W2315612271 · doi:10.1055/s-0032-1311255

Charakterisierung der Atemdynamik bei Asthma und COPD mittels H1-MRT und Lungenfunktionsdiagnostik: erste Ergebnisse

2012· article· de· W2315612271 on OpenAlex
Ursula Wolf, N Bojadzic, Christina Hoffmann, M. I. Terekhov, S Korn, Sarah Ley, LM Schreiber, KF Kreitner, Roland Buhl, Christoph Düber

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 · 2012
Typearticle
Languagede
FieldPhysics and Astronomy
TopicAtomic and Subatomic Physics Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineGynecology

Abstract

fetched live from OpenAlex

Ziele: Diagnostik und Therapiekontrolle bei COPD und Asthma stützen sich bislang im Wesentlichen auf die Daten der Lungenfunktionsprüfung. Hier können insb. Informationen zu Lungenvolumina und Atemfluss gewonnen werden. Diese Parameter erscheinen jedoch nicht sensitiv genug, um kurzfristige und lokale Veränderungen zu detektieren, die eine individuell optimierte Therapie ermöglichen. Aus diesem Grund liegt die Hoffnung auf neuen Parametern, die sich auf die MRT stützen.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.703
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.003
Open science0.0020.002
Research integrity0.0020.003
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 head0.022
GPT teacher head0.316
Teacher spread0.294 · 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