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Record W1135112731 · doi:10.71781/28900

Étude de la régulation transcriptionnelle du gène Indian Hedgehog et de son rôle dans l'ostéoarthrose

2011· dissertation· fr· W1135112731 on OpenAlexaboutno aff
Lauriane Bernard

Bibliographic record

VenuePapyrus : Institutional Repository (Université de Montréal) · 2011
Typedissertation
Languagefr
FieldBiochemistry, Genetics and Molecular Biology
TopicHedgehog Signaling Pathway Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyPhilosophy

Abstract

fetched live from OpenAlex

L’Ostéoarthrose (OA) est une maladie articulaire entrainant une dégénérescence du cartilage et une ossification de l’os sous-chondral. Elle touche un Canadien sur 10 et pourtant l’origine de cette pathologie est encore inconnue. Dans le cadre de ce projet, la contribution de deux facteurs de transcription, NFAT1 et PITX1, dans la régulation transcriptionnelle du promoteur d’IHH a été examiné compte tenu de l’implication potentielle de la voie hedgehog (Hh) et de ces facteurs dans la pathogenèse de l’OA. La voie de signalisation Hh régule la croissance et la différenciation des chondrocytes. Indian hedgehog (IHH), l’un des trois membres de la famille Hh, contrôle leur prolifération et leur différenciation.

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)0.000
metaresearch head score (Gemma)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.185
Teacher spread0.180 · 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
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
Published2011
Admission routes1
Has abstractyes

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