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Record W3128179846 · doi:10.1016/j.cjca.2020.02.034

Methodologic approaches for the development of a Canadian best practice statement for the prevention of cardiovascular diseases after a hypertensive disorder of pregnancy

2021· article· en· W3128179846 on OpenAlexaffvenueabout
Kara Nerenberg, Anne-Marie Côté, Natalie Dayan, Karen Fleming, Sonal Gandhi, Serena Gundy, Winnie Sia, G. Randy Smith, Sanjay Chawla, Charles M. Norris, Lisa Petermann, Diana Sherifali

Bibliographic record

VenueCanadian Journal of Cardiology · 2021
Typearticle
Languageen
FieldMedicine
TopicPregnancy and preeclampsia studies
Canadian institutionsAlberta Bible College
Fundersnot available
KeywordsMedicineRisk factorPregnancyStatement (logic)PopulationBest practiceIntensive care medicineInternal medicineEnvironmental health

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)0.273
metaresearch head score (Gemma)0.439
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: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.942
Threshold uncertainty score0.940

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2730.439
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0200.018
Science and technology studies0.0130.011
Scholarly communication0.0180.003
Open science0.0080.008
Research integrity0.0030.009
Insufficient payload (model declined to judge)0.0120.001

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 head0.132
GPT teacher head0.313
Teacher spread0.181 · 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

Citations0
Published2021
Admission routes3
Has abstractno

Explore more

Same venueCanadian Journal of Cardiology→Same topicPregnancy and preeclampsia studies→French-language works237,207→