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Record W2559588348 · doi:10.1007/978-981-10-1750-6_12

Transition: Moving from Pediatric to Adult Rheumatology Care

2016· book-chapter· en· W2559588348 on OpenAlexaff
Ross E. Petty

Bibliographic record

VenuePediatric Rheumatology · 2016
Typebook-chapter
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPaceMedicineDiseaseMedical careRheumatic diseaseChronic diseasePediatricsAdult careFamily medicineYoung adultGerontologyInternal medicine

Abstract

fetched live from OpenAlex

Life is in a constant state of transition, from infancy through childhood to adolescence and adulthood. Continuity of medical care through the early years is usually provided by the primary care physician and pediatrician, and in the case of the child with a rheumatic disease, ideally by the pediatric rheumatologist. The care is family centered and relies to a great extent on the participation of the parents as well as the child. During adolescence, however, medical care is increasingly the responsibility of the patient and eventually changes from the pediatric setting to the adult setting. Management of this period of transition is vitally important to the adolescent child with a chronic disease requiring ongoing specialist care. Adolescence is a period in which biological, psychological, and social changes occur at a rapid pace; chronic diseases, such as the rheumatic diseases, have significant impact on the normal adolescent growth and development and, in turn, are influenced by the normal evolution of psychological and social changes in the individual during this time. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.015
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0150.005

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 head0.030
GPT teacher head0.335
Teacher spread0.305 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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