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Record W1931837518 · doi:10.1016/j.bjps.2015.07.007

Bilateral hand transplantation: Functional benefits assessment in five patients with a mean follow-up of 7.6 years (range 4–13 years)

2015· review· en· W1931837518 on OpenAlexaff
Laurence Bernardon, Aram Gazarian, Palmina Petruzzo, Tara Packham, Michel Guillot, Vincent Guigal, Emmanuel Morélon, Hua Pan, Jean‐Michel Dubernard, Christophe Rizzo, Patrick Feugier, Thibault Streichenberger, Ludovic Bincaz, Jean-Pierre Urien, G. Mezzadri, T. Rousselon, F. Plotard, Christian Seulin, F. Braye, Ali Mojallal, Guillaume Herzberg, Jean Kanitakis, Davit Abrahamyan, Simon Kay, Lionel Badet

Bibliographic record

VenueJournal of Plastic Reconstructive & Aesthetic Surgery · 2015
Typereview
Languageen
FieldMedicine
TopicOrgan and Tissue Transplantation Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsDashPhysical therapyMedicineActivities of daily livingRange of motionElbowQuality of life (healthcare)Physical medicine and rehabilitationTest (biology)Balance (ability)TransplantationSurgery

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 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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.051
GPT teacher head0.308
Teacher spread0.256 · 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 designObservational
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

Citations51
Published2015
Admission routes1
Has abstractno

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