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On‐Road Assessment of Driving Performance in Bilateral Vestibular‐Deficient Patients

2009· article· en· W1966882366 on OpenAlexfundno aff
Hamish G. MacDougall, Steven T. Moore, Ross A. Black, Neryla Jolly, Ian S. Curthoys

Bibliographic record

VenueAnnals of the New York Academy of Sciences · 2009
Typearticle
Languageen
FieldNeuroscience
TopicVestibular and auditory disorders
Canadian institutionsnot available
FundersAustralian Research CouncilAGE-WELL
KeywordsVestibular systemGazePhysical medicine and rehabilitationAudiologyMedicineVestibulo–ocular reflexReflexVestibular rehabilitationRighting reflexVestibulePsychologyNeuroscience

Abstract

fetched live from OpenAlex

This study measured on-road driving behavior in subjects with bilateral vestibular loss (BVL). Data included point-of-regard (what the driver is looking at and attending to), gaze stability (the performance of the vestibulo-ocular reflex), and head movement, during complex maneuvers such as changing lanes, cornering, pulling into traffic, and parking. Subjective and objective measures showed few differences between BVL subjects and age-matched controls, and that it is possible to drive well with little or no peripheral vestibular function. This has important implications for driver licensing, road-safety policy, and for the potential successful rehabilitation of vestibular patients. Patients with unilateral vestibular dysfunction may have more difficulty driving than their bilateral counterparts.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.062
GPT teacher head0.339
Teacher spread0.277 · 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

Citations17
Published2009
Admission routes1
Has abstractyes

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Same venueAnnals of the New York Academy of SciencesSame topicVestibular and auditory disordersFrench-language works237,207