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Record W135774514 · doi:10.1155/2014/680829

Canadian Association of Gastroenterology Policy on the Application for, and Implementation of, Clinical Practice Guidelines

2014· article· en· W135774514 on OpenAlexaffabout
Harminder Singh, Grigorios I. Leontiadis, Lawrence Hookey, Robert Enns, Lana Bistritz, Louis-Charles Rioux, Louise Hope, Paul Sinclair

Bibliographic record

VenueCanadian Journal of Gastroenterology and Hepatology · 2014
Typearticle
Languageen
FieldMedicine
TopicClinical practice guidelines implementation
Canadian institutionsUniversité de MontréalUniversity of AlbertaUniversity of British ColumbiaQueen's UniversityMcMaster UniversityCanadian Association of GastroenterologyUniversity of Manitoba
Fundersnot available
KeywordsMedicineMandateClinical PracticeClinical governanceQuality (philosophy)Professional associationLegislaturePatient careFamily medicineMedical educationHealth careNursingPublic relations

Abstract

fetched live from OpenAlex

An important mandate of the Canadian Association of Gastroenterology (CAG), as documented in the Association's governance policies, is to optimize the care of patients with digestive disorders. Clinical practice guidelines are one means of achieving this goal. The benefits of timely, high-quality and evidenced-based recommendations include: Enhancing the professional development of clinical members through education and dissemination of synthesized clinical research; Improving patient care provided by members by providing focus on quality and evidence; Creating legislative environments that favour effective clinical practice; Enhancing the clinical care provided to patients with digestive disease by nongastroenterologists; and Identifying areas that require further information or research to improve clinical care. The present document provides the foundation required to ensure that clinical practice guidelines produced by the CAG are necessary, appropriate, credible and applicable. These recommendations should be adhered to as closely as possible to obtain CAG endorsement.

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)0.005
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.663
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.098
GPT teacher head0.474
Teacher spread0.376 · 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

Citations11
Published2014
Admission routes2
Has abstractyes

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