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Record W7103597587

An update to the Greig Health Record: Executive summary

2016· article· en· W7103597587 on OpenAlexaboutno aff

Bibliographic record

VenuePubMed Central · 2016
Typearticle
Languageen
FieldHealth Professions
TopicOral and Craniofacial Lesions
Canadian institutionsnot available
Fundersnot available
KeywordsChecklistExecutive summaryPsychosocialTypefaceHealth promotionElectronic health recordHealth information
DOInot available

Abstract

fetched live from OpenAlex

The Greig Health Record is an evidence-based health promotion guide for clinicians caring for children and adolescents 6 to 17 years of age. It provides a template for periodic health visits that is easy to use and adaptable for electronic medical records. On the record, the strength of recommendations is indicated in boldface for good, in italics for fair, and in regular typeface for recommendations based on consensus or inconclusive evidence. Checklist templates include sections for Weight, Height and BMI, Psychosocial history and Development, Nutrition, Education and Advice, Specific Concerns, Examination, Assessment, Immunization, and Medications. Included with the checklist tables are five pages of selected guidelines and resources. This update includes information from recent guidelines and research in preventive care for children and adolescents 6 to 17 years of age. Regular updates are planned. The complete Greig Health Record can be found online at the Canadian Paediatric Society’s website: www.cps.ca.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.392
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.047
GPT teacher head0.350
Teacher spread0.303 · 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 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

Citations0
Published2016
Admission routes1
Has abstractyes

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