MétaCan
Menu
Back to cohort
Record W4386592661 · doi:10.1051/medsci/2023095

Je mène donc tu suis

2023· review· fr· W4386592661 on OpenAlexaff
Grégory Emery

Bibliographic record

Venuemédecine/sciences · 2023
Typereview
Languagefr
FieldBiochemistry, Genetics and Molecular Biology
TopicCellular Mechanics and Interactions
Canadian institutionsUniversité de MontréalInstitute for Research in Immunology and Cancer
Fundersnot available
KeywordsMolecular biologyCell migrationBiologyCellGenetics

Abstract

fetched live from OpenAlex

Lors du développement et de la cicatrisation, les cellules se déplacent souvent par un processus de « migration cellulaire collective ». Un procédé identique est employé par les cellules de certaines tumeurs cancéreuses lors de la formation de métastases. Un remarquable modèle d’étude de la migration cellulaire collective est celui de l’étude du groupe (cluster) de cellules de bordure de la drosophile, qui permet d’observer et de manipuler une migration collective dans son environnement naturel. Cette revue décrit la machinerie moléculaire qui permet à ce groupe de cellules de migrer directionnellement, en se concentrant sur les mécanismes permettant aux cellules de détecter et réagir aux chimioattractants et d’organiser le groupe en cellules leaders et suiveuses.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.830
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.081
GPT teacher head0.359
Teacher spread0.278 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venuemédecine/sciencesSame topicCellular Mechanics and InteractionsFrench-language works237,207