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Record W3038949476 · doi:10.1016/j.jgo.2020.05.009

The association between endocrine therapy use and dementia among post-menopausal women treated for early-stage breast cancer in Ontario, Canada

2020· article· en· W3038949476 on OpenAlexafffundabout
Phillip Blanchette, Melody Lam, Britney Le, Lucie Richard, Salimah Z. Shariff, Kathleen I. Pritchard, Jacques Raphael, Ted Vandenberg, Ricardo Fernandes, Danielle Desautels, Kelvin Chan, Craig C. Earle

Bibliographic record

VenueJournal of Geriatric Oncology · 2020
Typearticle
Languageen
FieldMedicine
TopicCancer-related cognitive impairment studies
Canadian institutionsUniversity of ManitobaCanadian Centre for Applied Research in Cancer ControlHealth Sciences CentreCancerCare ManitobaLondon Health Sciences CentreSunnybrook Health Science CentreWestern University
FundersInstitut canadien d'information sur la santéSchulich School of Medicine and DentistryOntario Ministry of Health and Long-Term CareAcademic Medical Organization of Southwestern OntarioCancer Care Ontario
KeywordsTamoxifenMedicineBreast cancerAromatase inhibitorHazard ratioDementiaAnastrozoleInternal medicineOncologyGynecologyProportional hazards modelPopulationCancerAdjuvant therapyAromataseDiseaseConfidence interval

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.201

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.006
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.017
GPT teacher head0.273
Teacher spread0.256 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations10
Published2020
Admission routes3
Has abstractno

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