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Record W2152613411 · doi:10.3899/jrheum.150043

Dr. Hersh replies

2015· letter· en· W2152613411 on OpenAlexvenueaboutno aff
Aimee O. Hersh

Bibliographic record

VenueThe Journal of Rheumatology · 2015
Typeletter
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsnot available
FundersNational Institute of Arthritis and Musculoskeletal and Skin DiseasesNational Institutes of Health
KeywordsMedicineReceiptQuarter (Canadian coin)DocumentationSalt lakeCohortFamily medicineAdult careGerontologyYoung adultInternal medicineArchaeologyWorld Wide WebHistory

Abstract

fetched live from OpenAlex

To the Editor: In their letter, Dr. Chanchlani, et al 1 briefly described the outcomes of their established program for transition from pediatric to adult rheumatology care in the United Kingdom2,3. Their results demonstrated that even with a coordinated program, nearly one-quarter of the cohort did not meet their definition of a successful transfer (receipt of a letter from the first adult appointment), or was lost to followup. Further, the authors found that documentation of direct communication with adult providers was lacking in 24% of cases, and patients were not provided with a medical summary in nearly 60% of cases. As the authors discussed, written communication with adult providers and creation of a medical summary for patients … Address correspondence to Dr. A.O. Hersh, 81 N. Mario Capecchi Drive, 4th Floor, Salt Lake City, Utah 84113, USA. E-mail: aimee.hersh{at}hsc.utah.edu

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)0.002
metaresearch head score (Gemma)0.017
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: Editorial · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0030.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0180.019
Insufficient payload (model declined to judge)0.0130.008

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 head0.117
GPT teacher head0.420
Teacher spread0.304 · 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
GenreEditorial

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
Published2015
Admission routes2
Has abstractyes

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