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Record W3107374013 · doi:10.20870/ijvr.2020...3316

Interaction by gesture recognition: a tool to virtually revive the automata of the Antiquity

2020· article· en· W3107374013 on OpenAlexaboutno aff
Jérôme Nicolle, Philippe Fleury, Olivier Lézoray

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2020
Typearticle
Languageen
FieldComputer Science
TopicHandwritten Text Recognition Techniques
Canadian institutionsnot available
FundersAgence Nationale de la Recherche
KeywordsAutomatonGestureComputer scienceGreeksHuman–computer interactionGesture recognitionArtificial intelligenceArt

Abstract

fetched live from OpenAlex

<b>Official reference to the proceedings</b><br>Richir S. (2020), Ed. Proceedings of Virtual Reality International Conference (VRIC), 22-24 April, Laval, France,Publisher: Laval Virtual, www.laval-virtual.com, ISBN 978-2-9566-2517-9<br><br><b>Official reference to a paper included in the proceedings</b><br>Nicolle J., Fleury P. and Lezoray O. (2020). Interaction by gesture recognition: a tool to virtually revive theautomata of the Antiquity. In Proceedings of Virtual Reality International Conference (VRIC), S. Richir Ed, 22-24April, Laval, France, Publisher: Laval Virtual, www.laval-virtual.com, ISBN 978-2-9566-2517-9<br><br><vr>IJVR - International journal of virtual reality (ISSN : 1081-1451, ESSN : 2727-9979)

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 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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.870
Threshold uncertainty score0.481

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.001
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 head0.017
GPT teacher head0.235
Teacher spread0.218 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations0
Published2020
Admission routes1
Has abstractyes

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