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Record W2418968981

An update on mammography use in Canada.

2009· article· en· W2418968981 on OpenAlexaffabout
Margot Shields, Kathryn Wilkins

Bibliographic record

VenuePubMed · 2009
Typearticle
Languageen
FieldMedicine
TopicGlobal Cancer Incidence and Screening
Canadian institutionsStatistics Canada
Fundersnot available
KeywordsMammographyDemographyMedicineNational Health Interview SurveyLogistic regressionCommunity healthImmigrationPopulationAmerican Community SurveyPublic healthGerontologyEnvironmental healthGeographyBreast cancerCensus
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: This article updates mammography use by Canadian women aged 50 to 69, and reports trends from 1990 to 2008 among the provinces. Characteristics of non-users are examined. DATA SOURCES AND METHODS: Data from the 2008 Canadian Community Health Survey (CCHS) were used to update mammography use and to examine factors associated with non-use. Historical estimates were produced using the 2000/2001,2003 and 2005 CCHS, the 1994/1995, 1996/1997 and 1998/1999 National Population Health Survey and the 1990 Health Promotion Survey. Frequency estimates, cross-tabulations and logistic regression analysis were used. RESULTS: In 2008, 72% of women aged 50 to 69 reported having had a mammogram in the past two years, up from 40% in 1990. The increase occurred from 1990 to 2000/2001; rates then stabilized. Between 1990 and 2000/2001, the difference in participation between women in the highest and lowest income quintiles gradually narrowed-from a 26- to a 12-percentage-point difference. In 2008, the disparity widened to 18 percentage points. Non-use was high in British Columbia, Prince Edward Island and Nunavut. Non-use was associated with being an immigrant, living in a lower income household, not having a regular doctor and smoking.

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.

How this classification was reachedexpand

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 score0.340
Threshold uncertainty score0.492

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 head0.061
GPT teacher head0.272
Teacher spread0.211 · 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 teacher head, 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

Citations83
Published2009
Admission routes2
Has abstractyes

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