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Record W2049058829 · doi:10.1159/000121485

Sensory and Motor Conflict in Motion Sickness

2008· article· en· W2049058829 on OpenAlexaff
D. G. D. Watt

Bibliographic record

VenueBrain Behavior and Evolution · 2008
Typearticle
Languageen
FieldComputer Science
TopicVirtual Reality Applications and Impacts
Canadian institutionsMcGill University
Fundersnot available
KeywordsMotion sicknessSensory systemMotion (physics)PsychologyPhysical medicine and rehabilitationNeurosciencePredictabilityMotion perceptionCommunicationCognitive psychologyComputer scienceMedicineArtificial intelligencePerceptionMathematics

Abstract

fetched live from OpenAlex

Motion sickness occurs in a wide variety of circumstances involving real or apparent motion, many of them novel and man-made. Significantly, voluntary body movements rarely result in symptoms, and the likelihood of motion sickness is greatly reduced by having control of the vehicle in which one is riding. The unifying theory of Reason [1978] proposes that motion sickness results when there is a mismatch between predicted and actual sensory inputs. Hence, the less predictable the sensory input (because it results from an externally imposed motion, or from motion which results in errors of neural transduction), the more likely that motion sickness will develop. With continuing exposure, predictability increases and adaptation to motion sickness occurs.

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)0.005
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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.041
GPT teacher head0.278
Teacher spread0.237 · 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

Citations13
Published2008
Admission routes1
Has abstractyes

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