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Record W2137692501 · doi:10.1016/j.cjca.2013.06.002

Canadian Cardiovascular Society Position Statement on Radiation Exposure From Cardiac Imaging and Interventional Procedures

2013· article· en· W2137692501 on OpenAlexaffvenueabout
Madhu K. Natarajan, Narinder Paul, Mathew Mercuri, Edward Waller, Jonathon Leipsic, Mouhieddin Traboulsi, Hamid Banijamali, Lee Benson, Tej Sheth, Christopher S. Simpson, Allan Brydie, Michael P. Love, Richard L. Gallo

Bibliographic record

VenueCanadian Journal of Cardiology · 2013
Typearticle
Languageen
FieldMedicine
TopicRadiation Dose and Imaging
Canadian institutionsMontreal Heart InstituteQueen Elizabeth II Health Sciences CentreUniversity of CalgaryOntario Tech UniversityHospital for Sick ChildrenUniversity of British ColumbiaDalhousie UniversityUniversity Health NetworkQueen's UniversityMcMaster University
Fundersnot available
KeywordsMedicineRadiation exposureIonizing radiationMedical physicsPosition statementHealth careRadiation protectionIntensive care medicineRisk analysis (engineering)Medical emergencyNuclear medicineFamily 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)0.021
metaresearch head score (Gemma)0.040
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 score0.352
Threshold uncertainty score0.708

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.040
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0060.004
Science and technology studies0.0060.005
Scholarly communication0.0050.002
Open science0.0090.004
Research integrity0.0300.025
Insufficient payload (model declined to judge)0.0110.005

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 head0.007
GPT teacher head0.224
Teacher spread0.217 · 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

Citations26
Published2013
Admission routes3
Has abstractno

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