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Record W2015513418 · doi:10.1016/j.cjca.2012.02.018

The 2012 Canadian Hypertension Education Program Recommendations for the Management of Hypertension: Blood Pressure Measurement, Diagnosis, Assessment of Risk, and Therapy

2012· review· en· W2015513418 on OpenAlexaffvenueabout
Stella S. Daskalopoulou, Nadia Khan, Robert R. Quinn, Marcel Ruzicka, Donald W. McKay, Daniel G. Hackam, Simon W. Rabkin, Doreen M. Rabi, Richard E. Gilbert, Raj Padwal, Martin Dawes, Rhian M. Touyz, Tavis S. Campbell, Lyne Cloutier, Steven A. Grover, George Honos, Robert J. Herman, Ernesto L. Schiffrin, Peter Bolli, Thomas W. Wilson, Ross D. Feldman, M. Patrice Lindsay, Brenda R. Hemmelgarn, Michael D. Hill, Mark Gelfer, Kevin D. Burns, Michel Vallée, G. V. Ramesh Prasad, Marcel Lebel, Donna McLean, J. Malcolm O. Arnold, Gordon W. Moe, Jonathan G. Howlett, Jean-Martin Boulanger, Pierre Larochelle, Lawrence A. Leiter, Charlotte Jones, Richard I. Ogilvie, Vincent Woo, Janusz Kaczorowski, Luc Trudeau, Simon Bacon, Robert J. Petrella, Alain Milot, James A. Stone, Denis Drouin, Maxime Lamarre-Cliché, Marshall Godwin, Guy Tremblay, Pavel Hamet, George Fodor, S. George Carruthers, George Pylypchuk, Ellen Burgess, Richard Lewanczuk, George K. Dresser, Brian Penner, Robert A. Hegele, Philip A. McFarlane, Mukul Sharma, Norman R.C. Campbell, Debra J. Reid, Luc Poirier, Sheldon W. Tobe

Bibliographic record

VenueCanadian Journal of Cardiology · 2012
Typereview
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsLawson Health Research InstituteConcordia UniversityUniversity of ManitobaSt. Michael's HospitalUniversité LavalUniversity Health NetworkOttawa HospitalUniversité de MontréalUniversity of SaskatchewanUniversity of AlbertaHôpital Maisonneuve-RosemontUniversité du Québec à Trois-RivièresDepartment of National DefenceUniversité de SherbrookeUniversity of TorontoWestern UniversityUniversity of OttawaMcGill UniversityUniversity of CalgaryMemorial University of NewfoundlandUniversity of British Columbia
Fundersnot available
KeywordsMedicineBlood pressureWhite coat hypertensionDiabetes mellitusInternal medicineMasked HypertensionKidney diseaseIntensive care medicineMineralocorticoid receptorAtrial fibrillationCardiologyPrehypertensionAldosteroneAmbulatory blood pressureEndocrinology

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.475
Threshold uncertainty score0.956

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.013
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0080.009
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0040.001
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0060.002

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 head0.156
GPT teacher head0.352
Teacher spread0.196 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations267
Published2012
Admission routes3
Has abstractno

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