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Record W2635826018 · doi:10.7202/1040037ar

Développement neurocognitif et cérébral des survivants à long terme de la leucémie lymphoblastique aiguë

2016· article· fr· W2635826018 on OpenAlexaffvenue
Aubrée Boulet‐Craig, Philippe Robaey, Maja Krajinović, Caroline Laverdière, Daniel Sinnett, Serge Sultan, Sarah Lippé

Bibliographic record

VenueRevue québécoise de psychologie · 2016
Typearticle
Languagefr
FieldMedicine
TopicCancer-related cognitive impairment studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicineHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

La leucémie lymphoblastique aiguë (LLA) est le type de cancer le plus fréquemment diagnostiqué chez l’enfant. Les traitements de radiation crânienne et de chimiothérapie administrés permettent un excellent taux de survie. Cependant, ces traitements causent divers effets à long terme affectant la qualité de vie des survivants. Cette revue de littérature aborde les effets à long terme des traitements contre la LLA sur le fonctionnement cognitif et les structures cérébrales. Les atteintes de la substance blanche et grise ainsi que les déficits cognitifs fréquents, leur relation avec les agents de traitement et les mécanismes expliquant leur apparition graduelle y sont décrits.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.522
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.043
GPT teacher head0.362
Teacher spread0.319 · 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 designObservational
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
Published2016
Admission routes2
Has abstractyes

Explore more

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