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Record W2437204278

Mortality from Alzheimer's disease in Canada: A multiple-cause-of-death analysis, 2004 to 2011.

2016· article· en· W2437204278 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePubMed · 2016
Typearticle
Languageen
FieldMedicine
TopicAutopsy Techniques and Outcomes
Canadian institutionsStatistics Canada
Fundersnot available
KeywordsDiseaseDeath certificateCause of deathMedicineAlzheimer's diseaseMortality rateGerontologyPathologyInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Using multiple-cause-of-death data, this study investigates mortality from Alzheimer's disease. From 2004 through 2011, Alzheimer's disease was coded as a cause of 80,868 deaths-more often the underlying than a contributing cause. The rate of Alzheimer's disease deaths was higher for women and older individuals than for men and younger people, and varied considerably by province/territory. Regardless of whether Alzheimer's disease was coded as the underlying or a contributing cause, on average, two other causes were also listed on the death certificate. When Alzheimer's disease was the underlying cause, cardiovascular diseases were most often listed as a contributing cause; when Alzheimer's disease was a contributing cause, cardiovascular diseases were most often listed as the underlying cause.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.051
Threshold uncertainty score0.363

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.050
GPT teacher head0.280
Teacher spread0.230 · 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