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Record W2941943561 · doi:10.3917/re1.094.0008

L’infrastructure de recherche « Pôle de données et services pour le système Terre », à la pointe des techniques d’imagerie et de cartographie numérique

2019· article· fr· W2941943561 on OpenAlexaff
Frédéric Huynh, Nicolas Baghdadi, M. Diament, N. Papineau, G. Maudire, Richard Moreno, Pierre Maurel

Bibliographic record

VenueAnnales des Mines - Responsabilité et environnement · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicGeographic Information Systems Studies
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Observer, comprendre et prévoir de manière intégrée l’historique, le fonctionnement et l’évolution du système Terre soumis aux changements globaux est un enjeu fondamental de recherche et une nécessité pour la mise en œuvre des objectifs du développement durable. Cela nécessite des infrastructures interopérables permettant d’accélérer l’extraction, l’analyse, la diffusion et l’usage intelligent des données, des indicateurs et des modèles issus des systèmes nationaux et internationaux d’observation. Destinés aux scientifiques, aux acteurs publics et à ceux de l’innovation, ces produits et services sont accessibles via des portails dédiés, contribuant aux missions spatiales, à celles des réseaux d’observation et venant en appui des politiques de développement durable. Coordonner, fédérer et optimiser l’ensemble des institutions, dispositifs et moyens existants constitue une des ambitions importantes de l’IR système Terre, qui a aussi une vocation européenne et internationale dans ce domaine.

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)0.014
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.473
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.050
GPT teacher head0.344
Teacher spread0.294 · 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.

Study designQualitative
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

Citations3
Published2019
Admission routes1
Has abstractyes

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