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Adolescent Transition to Adult Care in Solid Organ Transplantation: A consensus conference report

2008· article· en· W2063618845 on OpenAlexaff
Laura Bell, Sharon Bartosh, Connie L. Davis, Fabienne Dobbels, Amira Al‐Uzri, Debra Lotstein, John Reiss, Vikas R. Dharnidharka

Bibliographic record

VenueAmerican Journal of Transplantation · 2008
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMedicineSolid organConsensus conferenceOrgan transplantationTransplantationHealth careIntensive care medicineTransition (genetics)Transitional careFamily medicineNursingSurgery

Abstract

fetched live from OpenAlex

Transition of care from pediatric to adult-oriented health care providers is difficult for children with special health care needs. Children who have received solid organ transplants and their providers experience the same difficulties and frustrations as children with other major illnesses. A consensus conference was organized by several transplant organizations to identify major issues in this area and recommend possible approaches to easing the process of transition for solid organ transplant recipients. This report summarizes the discussions and recommendations.

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)0.037
metaresearch head score (Gemma)0.041
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.037
Threshold uncertainty score0.194

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0370.041
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0040.003
Science and technology studies0.0030.001
Scholarly communication0.0050.006
Open science0.0050.008
Research integrity0.0090.012
Insufficient payload (model declined to judge)0.0090.003

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 head0.040
GPT teacher head0.385
Teacher spread0.345 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations247
Published2008
Admission routes1
Has abstractyes

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