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Record W1998043530 · doi:10.1258/1357633001935437

The Cave-let: A low-cost projective immersive display

2000· article· en· W1998043530 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Telemedicine and Telecare · 2000
Typearticle
Languageen
FieldComputer Science
TopicAugmented Reality Applications
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsComputer sciencePID controllerRange (aeronautics)VisualizationHuman–computer interactionArtificial intelligenceEngineeringAerospace engineeringTemperature controlControl engineering

Abstract

fetched live from OpenAlex

This paper describes the design and implementation of a low-cost projective immersive display (PID), called the Cave-let. A PID immerses the user in a computer-generated three-dimensional environment that responds to the user's movements. Current devices of this nature are very expensive, so that fewer than 100 units have been installed around the world. A low-cost PID will enable a wide range of applications in areas such as telehealth, visualization, education and collaborative systems. To produce a low-cost PID, we identified the components of the design that represented the major costs. These were then redesigned with the aim of reducing cost as much as possible while preserving most of the functionality. The resulting device is suitable for a wide range of applications and is an order of magnitude less expensive than similar devices.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.930
Threshold uncertainty score0.235

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.006
GPT teacher head0.250
Teacher spread0.244 · 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