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Record W1525081919 · doi:10.1093/pch/15.3.157

Preventive health care visits for children and adolescents aged six to 17 years: The Greig Health Record – Executive Summary

2010· article· en· W1525081919 on OpenAlexaff
Anita Arya Greig, Evelyn Constantin, Sarah Carsley, Carl Cummings

Bibliographic record

VenuePaediatrics & Child Health · 2010
Typearticle
Languageen
FieldHealth Professions
TopicChild and Adolescent Health
Canadian institutionsCanadian Paediatric Society
Fundersnot available
KeywordsMedicineExecutive summaryHealth careFamily medicinePediatricsGerontology

Abstract

fetched live from OpenAlex

The Greig Health Record is an evidence-based health promotion guide for clinicians caring for children and adolescents aged six to 17 years. It is meant to provide a template for periodic health visits that is easy to use and is easily adaptable for electronic medical records. On the Greig Health Record, where possible, evidence-based information is displayed, and levels of evidence are indicated in boldface type for good evidence and italics for fair evidence.Checklist templates include sections for weight, height and body mass index; psychosocial history and development; nutrition; education and advice; specific concerns; examination; and assessment, immunization and medications. Included with the checklist tables are three pages of selected guidelines and resources. Regular updates to the statement and tool are planned. The Greig Health Record is available in English only at www.cps.ca/english/CP/PreventiveCare.htm.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.634
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.342
Teacher spread0.327 · 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 teacher head, not a consensus.

Study designObservational
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

Citations17
Published2010
Admission routes1
Has abstractyes

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