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Record W1997135367 · doi:10.1097/phm.0b013e31818dff2a

Sitting Pressure in the Tilted Position

2008· article· en· W1997135367 on OpenAlexaff
Blair MacDonald, R. Lee Kirby, Cher Smith, Donald A. MacLeod, Adam Webber

Bibliographic record

VenueAmerican Journal of Physical Medicine & Rehabilitation · 2008
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsQueen Elizabeth II Health Sciences CentreDalhousie University
Fundersnot available
KeywordsWheelchairSittingTilt (camera)MedicineTilt sensorPosition (finance)Manual wheelchairPhysical medicine and rehabilitationMathematicsPhysicsComputer scienceGeometryOptics

Abstract

fetched live from OpenAlex

To test the hypothesis that, in comparison with a heavier, larger and more expensive manual tilt-in-space wheelchair, a lightweight manual wheelchair equipped with new rear antitip devices provides comparable mean sitting pressures in the tilted position, each of eight able-bodied participants sat for 8 mins in each wheelchair, upright, and tilted back (38-39 degrees). The mean (+/-SD) sitting pressures (of all active sensors in a force-sensing array) at the eighth minute in the upright and tilted positions with the new rear antitip device wheelchair were 58.6 (+/-14.0) and 45.8 (+/-9.3) mm Hg (a 20.7% reduction) (P = 0.005). For the tilt-in-space wheelchair, the mean values were 55.7 (+/-13.9) and 47.2 (+/-10.8) mm Hg (a 26.3% reduction) (P = 0.008). There were no significant differences between the wheelchairs in the upright (P = 0.843) or tilted (P = 0.624) positions. A lightweight manual wheelchair equipped with a new rear antitip device provides equivalent reductions of sitting pressures in the tilted position to a comparably tilted tilt-in-space wheelchair.

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)0.000
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.020
GPT teacher head0.373
Teacher spread0.353 · 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

Citations8
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueAmerican Journal of Physical Medicine & RehabilitationSame topicSpinal Cord Injury ResearchFrench-language works237,207