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Record W4366496647 · doi:10.1055/s-0043-1762952

Hat die Wirbelsäule einen Einfluss auf das Hirnvolumen? Zusammenhang von Spinalkanalweite und Skoliose mit dem Volumen der grauen Substanz, der weißen Substanz und der Ventrikel des Gehirns

2023· article· de· W4366496647 on OpenAlex
Sergio Grosu, Trayana Nikolova, Roberto Lorbeer, Susanne Rospleszcz, Christopher L. Schlett, Corinna Storz, Ebba Beller, Margit Heier, L Kiefer, Elke Maurer, S Walter, Birgit Ertl‐Wagner, Jens Ricke, Fabian Bamberg, Annette Peters, Sophia Stöcklein

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 · 2023
Typearticle
Languagede
FieldMedicine
TopicCerebrovascular and genetic disorders
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsGynecologyMedicine

Abstract

fetched live from OpenAlex

Zielsetzung Die Liquorsysteme von Gehirn und Wirbelsäule sind eng miteinander verbunden. Eine ungehinderte Liquorzirkulation ist für die Gesunderhaltung des Gehirns essenziell. Wirbelsäulenerkrankungen könnten die Liquorzirkulation behindern und folglich zu Hirnerkrankungen wie Normaldruckhydrozephalus führen. Ziel dieser Studie war es, den Zusammenhang von Spinalkanalweite und Skoliose mit dem Volumen der grauen Substanz, der weißen Substanz und der Ventrikel des Gehirns zu untersuchen.

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)0.003
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.396
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0050.005
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0030.005
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0030.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0030.008

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 head0.025
GPT teacher head0.316
Teacher spread0.291 · 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