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The 2013 Canadian Hypertension Education Program Recommendations for Blood Pressure Measurement, Diagnosis, Assessment of Risk, Prevention, and Treatment of Hypertension
Daniel G. Hackam, Robert R. Quinn, Pietro Ravani, Doreen M. Rabi, Kaberi Dasgupta, Stella S. Daskalopoulou, Nadia Khan, Robert J. Herman, Simon Bacon, Lyne Cloutier, Martin Dawes, Simon W. Rabkin, Richard E. Gilbert, Marcel Ruzicka, Donald W. McKay, Tavis S. Campbell, Steven A. Grover, George Honos, Ernesto L. Schiffrin, Peter Bolli, Thomas W. Wilson, Ross D. Feldman, Patrice Lindsay, 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, Robert J. Petrella, Alain Milot, James A. Stone, Denis Drouin, Kim Lavoie, Maxime Lamarre-Cliché, Marshall Godwin, Guy Tremblay, Pavel Hamet, George Fodor, S. George Carruthers, George Pylypchuk, Ellen Burgess, Richard Lewanczuk, George K. Dresser, S. Brian Penner, Robert A. Hegele, Philip A. McFarlane, Mukul Sharma, Debra J. Reid, Sheldon W. Tobe, Luc Poirier, Raj Padwal
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
Bibliographic record
VenueCanadian Journal of Cardiology · 2013
Typearticle
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsCentre hospitalier universitaire de QuébecCanadian Armed ForcesMontreal Clinical Research InstituteUniversity Health NetworkUniversity of AlbertaUniversité LavalHotchkiss Brain InstituteUniversity of SaskatchewanUniversité de MontréalHôpital Charles-Le MoyneJewish General HospitalMontreal General HospitalOttawa HospitalHôpital Maisonneuve-RosemontMcGill University Health CentreUniversité du Québec à Trois-RivièresUniversity of British ColumbiaUniversity of ManitobaMontreal Heart InstituteUniversity of TorontoMemorial University of NewfoundlandHôpital du Saint-SacrementUniversité du Québec à MontréalUniversité de SherbrookeFoothills Medical CentreUniversity of British Columbia HospitalDepartment of National DefenceMcGill UniversityUniversity of OttawaHôpital du Sacré-Cœur de MontréalUniversity of CalgarySt. Michael's HospitalOntario Stroke NetworkConcordia UniversityWestern University
Fundersnot available
KeywordsMedicineBlood pressureCoronary artery diseaseDiastoleDiseaseInternal medicineCardiologyRandomized controlled trialClinical trialIntensive care medicinePhysical therapy
Abstract
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.
Full frame distilled prediction
Teacher imitationNot 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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.454
Threshold uncertainty score0.917
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 head0.066
GPT teacher head0.304
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itQuick stats
Citations166
Published2013
Admission routes3
Has abstractno