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Record W2560530290 · doi:10.1038/jhh.2017.10

Recommended standards for assessing blood pressure in human research where blood pressure or hypertension is a major focus

2017· article· en· W2560530290 on OpenAlexaff
Stephen R. Daniels, Francesco P. Cappuccio, Janusz Kaczorowski, Antti Jula, Alison Atrey, Rhian M. Touyz, Ricardo Correa‐Rotter, Michael A. Weber, Jacqui Webster, Branka Legetić, Norm R.C. Campbell, Graeme J. Hankey, Temo Waqanivalu, Cheryl A.M. Anderson, Larry Appel, Mary E. Cogswell, Fleetwood Loustalot, Nancy R. Cook, Mary R. L’Abbé, Graham A. MacGregor, Rachael McLean, Doreen M. Rabi, Tej K. Khalsa, Alexander A. C. Leung, Mark Woodward, JoAnne Arcand, Claire Johnson, Mark L. Niebylski, Mark Gelfer, Pedro Ordúñez, Bruce S. Alpert, Raj Padwal, Lyne Cloutier, George S. Stergiou, Eoin OʼBrien, Don MacKay, Martin G. Myers, Joseph T. Flynn, Michael Rakotz, Janis M. Dionne, Birinder Mangat

Bibliographic record

VenueJournal of Human Hypertension · 2017
Typearticle
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsLibin Cardiovascular Institute of AlbertaUniversity of Calgary
Fundersnot available
KeywordsMedicineBlood pressureFocus (optics)Intensive care medicineMEDLINEInternal medicineBiochemistry

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)0.368
metaresearch head score (Gemma)0.639
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.632
Threshold uncertainty score0.780

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.3680.639
Meta-epidemiology (narrow)0.0040.006
Meta-epidemiology (broad)0.0070.015
Bibliometrics0.0190.016
Science and technology studies0.0110.011
Scholarly communication0.0150.007
Open science0.0220.009
Research integrity0.0310.032
Insufficient payload (model declined to judge)0.0080.008

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 head0.150
GPT teacher head0.414
Teacher spread0.264 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
DomainMethods
GenreMethods

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

Citations21
Published2017
Admission routes1
Has abstractno

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