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Record W6931102804 · doi:10.5281/zenodo.5601784

Cadre de gestion - Banque de données sur la santé durable

2019· other· fr· W6931102804 on OpenAlexaffabout

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2019
Typeother
Languagefr
FieldComputer Science
TopicFace and Expression Recognition
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsContext (archaeology)Monetary systemThird partyElectrocution

Abstract

fetched live from OpenAlex

Afin d'étudier la santé et le bien-être dans toutes ses dimensions, PULSAR (pulsar.ca) a mis en place une Banque de données en santé durable. <br> Constituée de données colligées par différents projets de recherche réalisés avec PULSAR, cette banque favorise la découverte de nouvelles connaissances grâce à la réutilisation, par de futurs projets, des données qui y sont conservées. Elle ne contient pour l’instant que des données, donc aucun matériel biologique. Administrée et sécurisée par l’Université Laval, cette banque de données constitue une ressource institutionnelle. Elle est gérée rigoureusement en vertu du Cadre de gestion de la Banque de données en santé durable et du cadre légal actuellement en vigueur au Québec et au Canada. Seuls les participants ayant donné leur consentement voient leurs données intégrées dans la Banque de données en santé durable.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.221
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0640.055

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 head0.033
GPT teacher head0.241
Teacher spread0.208 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicFace and Expression RecognitionFrench-language works237,207