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Record W3207983296 · doi:10.1016/j.cjca.2021.10.006

Return of Results Policies for Genomic Research: Current Practices and the Hearts in Rhythm Organization (HiRO) Approach

2021· review· en· W3207983296 on OpenAlexafffundvenue
Drake Comber, Brianna Davies, Jason D. Roberts, Rafik Tadros, Jeff S. Healey, Christopher S. Simpson, Shubhayan Sanatani, Christian Steinberg, Ciorsti MacIntyre, Paul Angaran, Henry J. Duff, Robert M. Hamilton, Laura Arbour, Richard Leather, Colette Seifer, Anne Fournier, Joseph Atallah, Shane Kimber, Bhavanesh Makanjee, Wael Alqarawi, Julia Cadrin‐Tourigny, Jacqueline Joza, Karen Gibbs, Laura Robb, Laura Zahavich, Martin J. Gardner, Mario Talajic, Alice Virani, Andrew D. Krahn, Anna Lehman, Zachary Laksman

Bibliographic record

VenueCanadian Journal of Cardiology · 2021
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Rare Diseases
Canadian institutionsThe Scarborough HospitalUniversity of AlbertaCentre Hospitalier Universitaire Sainte-JustineSickKids FoundationLibin Cardiovascular Institute of AlbertaRoyal Jubilee HospitalUniversity of CalgarySt. Michael's HospitalMontreal Heart InstituteUniversity of ManitobaUniversity of British Columbia HospitalInstitut universitaire de cardiologie et de pneumologie de QuébecUniversité LavalBC Children's HospitalQueen's UniversityQueen Elizabeth II Health Sciences CentreWestern UniversityPopulation Health Research InstituteUniversité de MontréalMcGill University Health CentreUniversity of OttawaUniversity of British ColumbiaIsland HealthUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsBiobankMedicinePenetranceResource (disambiguation)Informed consentBioinformaticsAlternative medicinePathologyGeneticsComputer science

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)0.034
metaresearch head score (Gemma)0.061
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.966
Threshold uncertainty score0.177

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0340.061
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.005
Science and technology studies0.0010.005
Scholarly communication0.0060.005
Open science0.0040.004
Research integrity0.0100.010
Insufficient payload (model declined to judge)0.0130.004

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 head0.108
GPT teacher head0.374
Teacher spread0.266 · 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.

Study designNot applicable
DomainMethods
GenreReview

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

Citations5
Published2021
Admission routes3
Has abstractno

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