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Record W7047252278

Factores de riesgo de mortalidad en el primer año tras fractura periprotésica de fémur tipo C de Vancouver

2024· dissertation· es· W7047252278 on OpenAlexaboutno aff

Bibliographic record

VenueUVaDOC UVaDOC University of Valladolid Documentary Repository (University of Valladolid) · 2024
Typedissertation
Languagees
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsPopulationPoison controlLimiting
DOInot available

Abstract

fetched live from OpenAlex

La fractura periprotésica tipo C de Vancouver en fémur (FPP VC) es una fractura distal al vástago de una prótesis de cadera. Por este motivo habitualmente no requiere cirugía de recambio de prótesis y se trata mediante fijación interna (placa y tornillos o clavo endomedular). La mortalidad de esta patología es elevada y debido a su progresivo aumento en la incidencia resulta de interés estudiar sus factores de riesgo. La fractura periprotésica de fémur tipo C de Vancouver asocia una elevada mortalidad al año. No existen diferencias significativas en mortalidad entre los diferentes tipos de fijación. La presencia de complicaciones médicas y quirúrgicas son factores de riesgo. Este estudio define los factores de riesgo de mortalidad para realizar un tratamiento individualizado y mejorar el pronóstico de estos pacientes. No obstante son necesarios más trabajos que comparen todos los tipos de tratamientos e incluyan más variables para elaborar la estrategia más adecuada.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.205
Threshold uncertainty score0.407

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.005
GPT teacher head0.240
Teacher spread0.234 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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