MétaCan
Menu
Back to cohort
Record W2115020653 · doi:10.1002/cae.20179

An interactive simulation tool for image registration education

2010· article· en· W2115020653 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

VenueComputer Applications in Engineering Education · 2010
Typearticle
Languageen
FieldEngineering
TopicBiomedical and Engineering Education
Canadian institutionsConcordia University
Fundersnot available
KeywordsMATLABComputer scienceGraphical user interfaceImage registrationFeature (linguistics)Computer graphics (images)Image (mathematics)User interfaceInterface (matter)Engineering drawingHuman–computer interactionArtificial intelligenceMultimediaProgramming languageOperating systemEngineering

Abstract

fetched live from OpenAlex

Abstract A medical image registration simulation toolkit built using MATLAB graphical user interface (GUI) is presented. The developed Matlab GUI's provide an effective tool for exploring different image registration techniques including a new feature‐based image registration technique proposed by the authors. The toolkit is useful for biomedical engineering students and can be used as a web‐based learning tool. © 2009 Wiley Periodicals, Inc. Comput Appl Eng Educ 18: 225–237, 2010; Published online in Wiley InterScience (www.interscience.wiley.com); DOI 10.1002/cae.20179

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.655
Threshold uncertainty score0.958

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 communication0.0000.001
Open science0.0000.000
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 head0.004
GPT teacher head0.267
Teacher spread0.262 · 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