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Record W2561901700 · doi:10.4000/bifea.8027

Taller de Escáner 3D

2016· article· fr· W2561901700 on OpenAlexaff
Quentin Marchand

Bibliographic record

VenueBulletin de l’Institut français d’études andines · 2016
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicBusiness, Education, Mathematics Research
Canadian institutionsCanadian Bulletin of Medical History
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

participantes al taller recibieron la visita de dos especialistas del Ministerio de Cultura que estaban interesados en conocer los alcances de esta técnica.Finalmente, el taller se cerró con una charla sobre las futuras aplicaciones de estas técnicas en el ámbito de la arqueología peruana.Estas técnicas novedosas abren nuevas posibilidades tanto en la investigación como en la museología.Ahora, el desafío consiste en vincular varios actores tanto del sector de la salud para realizar los escaneos de momias como del sector del patrimonio y de la cultura para almacenar los objetos escaneados en una plataforma virtual colaborativa.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.306
Threshold uncertainty score0.990

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0060.004
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.3060.082

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 head0.023
GPT teacher head0.255
Teacher spread0.232 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2016
Admission routes1
Has abstractyes

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Same venueBulletin de l’Institut français d’études andinesSame topicBusiness, Education, Mathematics ResearchFrench-language works237,207