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Record W4398193991 · doi:10.1016/j.jcyt.2024.03.215

HARNESSING THE PROMISES OF CELL THERAPY, REGENERATIVE MEDICINE, AND GENE THERAPY IN QUÉBEC, CANADA

2024· article· en· W4398193991 on OpenAlexaffabout
Jean‐Sébastien Delisle, Diane Fournier, Kim Santerre, Samuel Rochette, M.H. Zawati, Maude Dumont-Lagacé, Simon Turcotte, Jason Robert Guertin, Patrick Vermette, Jacques P. Tremblay, Maxime Parisotto, Christian Beauséjour, Jean‐François Gélinas, Louisa Petropoulos, Mélanie Dieudé

Bibliographic record

VenueCytotherapy · 2024
Typearticle
Languageen
FieldMedicine
TopicBiomedical Ethics and Regulation
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineCentre Hospitalier Universitaire de SherbrookeCentre hospitalier de l'Université LavalUniversité de SherbrookeUniversité LavalCentre Hospitalier de l’Université de MontréalHôpital du Saint-SacrementMcGill University Health CentreHéma-QuébecUniversité de MontréalStem Cell NetworkHôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsRegenerative medicineGenetic enhancementCell therapyStem-cell therapyMedicineCellBiologyGeneInternal medicineGeneticsTransplantation

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.368
Threshold uncertainty score0.837

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.034
GPT teacher head0.294
Teacher spread0.260 · 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.

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
Published2024
Admission routes2
Has abstractno

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