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Record W1516294777 · doi:10.1159/000339976

The Physiology of Deglutition and the Pathophysiology and Complications of Oropharyngeal Dysphagia

2012· article· en· W1516294777 on OpenAlexaff
Catriona M. Steele

Bibliographic record

VenueNestlé Nutrition Institute Workshop series · 2012
Typearticle
Languageen
FieldHealth Professions
TopicDysphagia Assessment and Management
Canadian institutionsHolland Bloorview Kids Rehabilitation HospitalToronto Rehabilitation Institute
Fundersnot available
KeywordsDysphagiaOropharyngeal dysphagiaSwallowingMedicineIntensive care medicinePopulationPhysical therapySurgeryEnvironmental health

Abstract

fetched live from OpenAlex

The opening session of the 2nd International Conference on Oropharyngeal Dysphagia featured a series of invited talks reviewing the definition of dysphagia, its prevalence and its pathophysiology. The discussion arising from these talks focused heavily on the current underrecognition of dysphagia as a significant concern for older adults, particularly those over 75. The burdens associated with dysphagia in this sector of the population were recognized to be substantial, both in social/psychological terms and in terms of economic consequences for the healthcare system. The importance of developing swallow screening protocols as a routine method for the early identification of dysphagia and aspiration was explored. The idea of launching political initiatives aimed at increasing awareness and the utilization of appropriate dysphagia healthcare codes was also discussed.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0030.003
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.032
GPT teacher head0.353
Teacher spread0.321 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations3
Published2012
Admission routes1
Has abstractyes

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