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Record W2313103708 · doi:10.1055/s-2005-919648

Longitudinales Wachstumsverhalten von plexiformen Neurofibromen bei NF1

2005· article· de· W2313103708 on OpenAlex

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

VenueAktuelle Neurologie · 2005
Typearticle
Languagede
FieldMedicine
TopicNeurofibromatosis and Schwannoma Cases
Canadian institutionsCanadian Association of Nurses in Oncology
Fundersnot available
KeywordsGynecologyMedicine

Abstract

fetched live from OpenAlex

Plexiforme Neurofibrome (PNF) sind ein typisches Merkmal der Neurofibromatose Typ 1 und treten bei mindestens 30% der Patienten auf. Über die Wachstumseigenschaften dieser Tumoren besteht Unklarheit. Phasen progressiven Wachstums stehen unverändertem Wachstumsverhalten gegenüber. Die Entwicklung dieses Tumortyps zu malignen peripheren Nervenscheidentumoren stellt eine wesentliche Komplikation dar. Durch die longitudinale Beobachtung des Wachstumsverhalten dieser Tumoren mittels MRT wurde deren Progression sowie asssoziierte klinische und genetische Faktoren untersucht. 32 plexiforme Neurofibrome wurden bei 27 NF1 Patienten im Alter von 4 bis 15 Jahren (Mittelwert: 7,6) mittels MRT überwacht. Dabei wurde der längste Querdurchmesser oder die größte Ausdehnung des Tumors in der Länge und Breite ausgemessen. Die Patienten wurden klinisch und molekulargenetisch (NF1-Mutationsanalyse) charakterisiert.

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)0.001
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 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 score0.285
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.007

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 head0.036
GPT teacher head0.277
Teacher spread0.241 · 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