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Record W2342902152

Élaboration d’un outil logiciel d’analyse des données de spectroscopie proche infrarouge pour l’étude du vieillissement cognitif

2012· article· fr· W2342902152 on OpenAlexfundno aff
Clément Bonnéry

Bibliographic record

VenuePolyPublie (École Polytechnique de Montréal) · 2012
Typearticle
Languagefr
FieldMedicine
TopicOptical Imaging and Spectroscopy Techniques
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchPolytechnique MontréalMinistère du Développement Économique, de l’Innovation et de l’Exportation
KeywordsHumanitiesPhilosophyPhysicsArt
DOInot available

Abstract

fetched live from OpenAlex

Je souhaite remercier mes directeurs Louis Bherer, Philippe Pouliot et Frédéric Lesage pour leur bonne humeur, leur patience et leurs conseils.Je pense aussi aux professeurs et aux personnes de l'administration de Supélec qui m'ont apporté leur soutien afin que je puisse avoir la chance de venir à Montréal.J'aimerais aussi remercier mes organismes subventionnaires : le MDEIE et mes parents.v

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)0.026
metaresearch head score (Gemma)0.066
Version: metacan-v3-hybrid-931329e0061cValidation 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: Methods · Consensus signal: Methods
Teacher disagreement score0.026
Threshold uncertainty score0.138

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.066
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0080.004
Science and technology studies0.0020.007
Scholarly communication0.0170.012
Open science0.0050.006
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0170.003

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 head0.019
GPT teacher head0.274
Teacher spread0.255 · 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.

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

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
Published2012
Admission routes1
Has abstractyes

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