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Record W4306316467 · doi:10.46747/cfp.6810721

Knowledge mobilization for primary care

2022· article· en· W4306316467 on OpenAlexaffvenue
Leslie Rourke, James Rourke, Denis Leduc, Patricia Li, Anne Rowan-Legg, Imaan Bayoumi, Bruce Kwok

Bibliographic record

VenueCanadian Family Physician · 2022
Typearticle
Languageen
FieldMedicine
TopicClinical practice guidelines implementation
Canadian institutionsSt. Michael's HospitalMcGill University Health CentreQueen's UniversityChildren's Hospital of Eastern OntarioMcGill UniversityMemorial University of Newfoundland
Fundersnot available
KeywordsRigourPrimary careRelevance (law)MedicineGeneral practiceClinical PracticeAlternative medicinePrimary health careFamily medicineMedical educationData scienceComputer sciencePolitical scienceLawPathologyEpistemology

Abstract

fetched live from OpenAlex

> In hospitals diseases stay and people come and go; in general practice people stay and diseases come and go . > > Iona Heath[1][1] The Rourke Baby Record (RBR): why and how has this practice tool survived and maintained its clinical relevance and academic rigour? In this article we share lessons

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.749
Threshold uncertainty score0.554

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.134
GPT teacher head0.405
Teacher spread0.271 · 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.

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

Citations2
Published2022
Admission routes2
Has abstractyes

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