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A clinical perspective on lifelong deglutition: What do we do when it does not work?

2019· article· en· W3176491371 on OpenAlexaff
Stacey A. Skoretz

Bibliographic record

VenueThe FASEB Journal · 2019
Typearticle
Languageen
FieldHealth Professions
TopicDysphagia Assessment and Management
Canadian institutionsUniversity of AlbertaUniversity of British Columbia
Fundersnot available
KeywordsSwallowingDysphagiaPerspective (graphical)PsychologyPhysiologyNeuroscienceCognitive scienceMedicineComputer scienceDentistrySurgery

Abstract

fetched live from OpenAlex

Swallowing and breathing are two vital processes necessary to sustain human life. These acts require precise coordination given their biomechanical interdependence as characterized by their shared anatomy, neurophysiological regulation and function (Miller, Bieger, & Conklin, 1997; Shaw & Martino, 2013). Whether or not a swallow is competent is governed not only by the integrity of its anatomy but also by multiple factors including those that are: systemically mediated, part of the external environment or any combination thereof. As a result, the traditional swallowing phases, as they evolve over the lifespan of an individual, are best understood by taking a cross‐systems perspective (Martin‐Harris, Brodsky, et al., 2005; Matsuo & Palmer, 2009). This approach is the cornerstone of innovative assessment and management techniques for oropharyngeal dysphagia (or disordered swallowing), which supports subdivisions of the swallowing phases. This modern perspective affords the opportunity to ascertain the subtleties of the swallow's anatomical symbiosis with other processes, its intricate physiology all while opening the door to novel dysphagia intervention. This session will: 1) outline the anatomical and physiological differences between reflexive and volitional swallows, 2) explore a cross‐systems approach to understanding swallowing anatomy and physiology across the lifespan, and 3) review clinical cases that highlight the importance of anatomical and biomechanical integrity during swallowing. This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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)0.004
metaresearch head score (Gemma)0.009
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0030.007
Scholarly communication0.0050.012
Open science0.0020.003
Research integrity0.0100.014
Insufficient payload (model declined to judge)0.0090.004

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 head0.074
GPT teacher head0.436
Teacher spread0.362 · 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
GenreCommentary

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
Published2019
Admission routes1
Has abstractyes

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