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Record W4402452327 · doi:10.1016/j.cjca.2024.07.032

Author Corrections to “Canadian Cardiovascular Society 2023 Guidelines on the Fitness to Drive” [Can J Cardiol 40 (2024):500-523]

2024· erratum· en· W4402452327 on OpenAlexaffvenueabout
Peter G. Guerra, Christopher S. Simpson, Harriette G.C. Van Spall, Anita Asgar, Julia Cadrin‐Tourigny, Santabhanu Chakrabarti, Christopher C. Cheung, Annie Dore, Christopher B. Fordyce, Pishoy Gouda, Ansar Hassan, Andrew D. Krahn, Jessica G.Y. Luc, Susanna Mak, Sean McMurtry, Colleen M. Norris, François Philippon, John L. Sapp, Robert S. Sheldon, Candice K. Silversides, Christian E. W. Steinberg, David Wood

Bibliographic record

VenueCanadian Journal of Cardiology · 2024
Typeerratum
Languageen
FieldMedicine
TopicCardiovascular Effects of Exercise
Canadian institutionsUniversity of CalgaryInstitut universitaire de cardiologie et de pneumologie de QuébecUniversity Health NetworkHealth Sciences CentreSinai Health SystemSunnybrook Health Science CentreUniversity of TorontoDalhousie UniversityHamilton Health SciencesUniversity of AlbertaPopulation Health Research InstituteMontreal Heart InstituteUniversity of British ColumbiaKingston Health Sciences Centre
Fundersnot available
KeywordsMedicineCanadian Cardiovascular SocietyGerontologyCardiologyInternal 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 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)0.006
metaresearch head score (Gemma)0.075
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.708
Threshold uncertainty score0.580

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.075
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0060.004
Science and technology studies0.0060.003
Scholarly communication0.0070.002
Open science0.0050.002
Research integrity0.0150.023
Insufficient payload (model declined to judge)0.0630.051

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 head0.032
GPT teacher head0.290
Teacher spread0.258 · 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
GenreOther

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
Published2024
Admission routes3
Has abstractno

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