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Record W3096751430 · doi:10.1055/s-0040-1717346

Genauigkeit und Reproduzierbarkeit eines Patienten-spezifischen Instruments in der oberen Sprungelenksprothetik

2020· article· de· W3096751430 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

VenueZeitschrift für Orthopädie und Unfallchirurgie · 2020
Typearticle
Languagede
FieldHealth Professions
TopicMedical Practices and Rehabilitation
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsGynecologyMedicine

Abstract

fetched live from OpenAlex

Fragestellung Arthritis des oberen Sprunggelenkes (OSG) ist eine häufige und belastende Erkrankung, welche chirurgisch mit einer Arthrodese oder einer Prothese behandelt werden kann. Bei Implantation einer Prothese werden die Beweglichkeit und folglich ein normaleres Gangbild erhalten, wodurch ein besseres funktionelles Ergebnis entstehe. Jedoch führt eine falsche Ausrichtung der Prothesenkomponente zu ungleichen Druckverhätnissen, was potentiell eine Komponentenlockerung, Implantatversagen und ein schlechtes Ergebnis zur Folge hat. Daher verwendet ein OSG-Prothesen Design ein Patienten-spezifisches Instrument (PSI), welches anhand eines präoperativen CTs entwickelt wird und zu einer zuverlässigere und genauerer Komponentenpositionierung führe. Ziel dieser Studie ist es, dies von dem Designerteam unabhängigen Orthopäden zu überprüfen.

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)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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 score0.875
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0040.005

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 head0.055
GPT teacher head0.392
Teacher spread0.337 · 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