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Record W2748294035 · doi:10.1542/peds.2017-1961

Pediatric Integrative Medicine

2017· article· en· W2748294035 on OpenAlexaff
Hilary McClafferty, Sunita Vohra, Michelle Bailey, Melanie Brown, Anna Esparham, Dana Gerstbacher, Brenda Golianu, Anna‐Kaisa Niemi, Erica Sibinga, Joy A. Weydert, Ann Ming Yeh

Bibliographic record

VenuePEDIATRICS · 2017
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineScope (computer science)Complementary medicineIntegrative medicineAlternative medicineStatement (logic)Quality (philosophy)Health careMEDLINEMedical educationFamily medicinePathology

Abstract

fetched live from OpenAlex

The American Academy of Pediatrics is dedicated to optimizing the well-being of children and advancing family-centered health care. Related to this mission, the American Academy of Pediatrics recognizes the increasing use of complementary and integrative therapies for children and the subsequent need to provide reliable information and high-quality clinical resources to support pediatricians. This Clinical Report serves as an update to the original 2008 statement on complementary medicine. The range of complementary therapies is both extensive and diverse. Therefore, in-depth discussion of each therapy or product is beyond the scope of this report. Instead, our intentions are to define terms; describe epidemiology of use; outline common types of complementary therapies; review medicolegal, ethical, and research implications; review education and training for select providers of complementary therapies; provide educational resources; and suggest communication strategies for discussing complementary therapies with patients and families.

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)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.067
Threshold uncertainty score0.225

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0670.015

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 head0.065
GPT teacher head0.386
Teacher spread0.322 · 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
GenreEmpirical

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

Citations152
Published2017
Admission routes1
Has abstractyes

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