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Record W2123236875 · doi:10.1145/2212776.2212380

BodiPod

2012· article· en· W2123236875 on OpenAlex
John Bolton, Peng Wang, Kibum Kim, Roel Vertegaal

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

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicAugmented Reality Applications
Canadian institutionsQueen's University
Fundersnot available
KeywordsStereoscopySlicingVolume renderingComputer scienceComputer graphics (images)Human anatomyRendering (computer graphics)ShutterComputer visionGestureArtificial intelligenceAnatomyPhysicsOptics

Abstract

fetched live from OpenAlex

We present BodiPod, a 3D 360° stereoscopic human anatomy browser. Our cylindrical display allows users to view a human anatomy volume at full scale from any perspective. Shutter glasses are only required if users want to examine the data stereoscopically. Users can change views simply by walking around the display volume, and interact with the human anatomy model inside the display through gesture and speech interactions, which include scaling, rotation, peeling, slicing and labeling. Our demonstration shows that using a cylindrical display has the benefits of providing stereoscopic rendering of human anatomy models at life-size scale that can be examined from any angle, while allowing interactions from an appropriate viewing distance.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.963
Threshold uncertainty score1.000

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.019
GPT teacher head0.260
Teacher spread0.241 · 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

Quick stats

Citations2
Published2012
Admission routes1
Has abstractyes

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