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Record W3177946462 · doi:10.1016/j.bulcan.2021.03.020

Suivi immunologique et collection biologique en vue de l’analyse de la réponse clinique après autogreffe de moelle pour maladies auto-immunes : recommandations de la Société francophone de greffe de moelle et de thérapie cellulaire (SFGM-TC)

2021· review· fr· W3177946462 on OpenAlex
Pauline Lansiaux, Séverine Loisel, Cristina Castilla‐Llorente, Claire Fontenille, Sarah Kabdani, Zora Marjanovic, G. Pugnet, Mathieu Puyade, Émilie Robert, Louis Terriou, Nassim Ait Abdallah, A. Maria, Laure Michel, Xavier Tréton, Ibrahim Yakoub‐Agha, Dominique Farge

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBulletin du Cancer · 2021
Typereview
Languagefr
FieldMedicine
TopicSystemic Sclerosis and Related Diseases
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineBiobankImmune systemTransplantationHematopoietic cellHematopoietic stem cell transplantationOncologyStem cellImmunologyInternal medicineHaematopoiesisBioinformaticsBiology

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.

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)0.017
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.438
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0060.000

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 head0.023
GPT teacher head0.335
Teacher spread0.312 · 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