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Record W2154404789 · doi:10.1002/hed.20884

Speech outcomes after soft palate reconstruction with the soft palate insufficiency repair procedure

2008· article· en· W2154404789 on OpenAlexaff
Jana Rieger, Jana Zalmanowitz, Shirley Y. Y. Li, Judith Lam Tang, David Williams, Jeffrey Harris, Hadi Seikaly

Bibliographic record

VenueHead & Neck · 2008
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsNorthern Alberta Institute of TechnologyUniversity of Alberta
Fundersnot available
KeywordsSoft palateMedicineVelopharyngeal insufficiencyDentistryOrthodonticsSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Measurement of functional outcomes related to different methods of soft palate reconstruction is necessary to determine efficacy of surgical intervention after resection for oropharyngeal cancer. METHODS: Speech data were collected across 4 evaluation times for 4 groups of patients (2 groups consisted of patients with <or= half the soft palate resected followed by conventional reconstruction; 2 groups consisted of patients with half or more of the soft palate resected followed by reconstruction with an adhesion or the soft palate insufficiency repair (SPIR). RESULTS: Sixty-two patients were included. Speech was preserved when conventional reconstructive procedures were used to close smaller defects. For larger defects, reconstruction with an adhesion resulted in poorer speech outcomes than the SPIR. The SPIR group achieved normal speech results at all points of evaluation. CONCLUSIONS: The results demonstrate that the SPIR is emerging as an efficacious surgical technique for reconstruction of larger soft palate defects.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.029
Threshold uncertainty score0.752

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.244
Teacher spread0.231 · 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 teacher head, 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

Citations21
Published2008
Admission routes1
Has abstractyes

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