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Record W3159112749 · doi:10.1016/s0828-282x(08)70619-6

The 2008 Canadian Hypertension Education Program recommendations for the management of hypertension: Part 1 – blood pressure measurement, diagnosis and assessment of risk

2008· article· en· W3159112749 on OpenAlexaffvenueabout
Raj Padwal, Brenda R. Hemmelgarn, Nadia Khan, Steven A. Grover, Finlay A. McAlister, Donald W. McKay, Thomas W. Wilson, Brian Penner, Ellen Burgess, Peter Bolli, Michael D. Hill, Jeff Mahon, Martin G. Myers, Carl Abbott, Ernesto L. Schiffrin, George Honos, Karen Mann, Guy Tremblay, Alain Milot, Lyne Cloutier, Arun Chockalingam, Simon W. Rabkin, Martin Dawes, Rhian M. Touyz, Chaim M. Bell, Kevin D. Burns, Marcel Ruzicka, Norman R.C. Campbell, Marcel Lebel, Sheldon W. Tobe

Bibliographic record

VenueCanadian Journal of Cardiology · 2008
Typearticle
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsHôtel-Dieu de QuébecUniversité du Québec à Trois-RivièresUniversité LavalDalhousie UniversityUniversity of OttawaSimon Fraser UniversityMcGill UniversityHôpital du Saint-SacrementHealth Sciences CentreSt. Michael's HospitalJewish General HospitalSunnybrook Health Science CentreUniversity of TorontoWestern UniversityUniversity of ManitobaMontreal General HospitalMemorial University of NewfoundlandVictoria General HospitalUniversity of British ColumbiaUniversity of CalgaryUniversity of SaskatchewanUniversity of Alberta
Fundersnot available
KeywordsMedicineBlood pressureRisk assessmentIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.842
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.299
Teacher spread0.200 · 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

Citations74
Published2008
Admission routes3
Has abstractno

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