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Record W7099160715

A Collection of Original Research Papers Published in The Canadian Journal of Cardiology 165 Chapter 21: Use of valve surgery in Canada

2003· article· en· W7099160715 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicParvovirus B19 Infection Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMitral valveValve replacementAortic valve replacementCardiac surgeryAortic valveBypass graftingMitral valve replacementHeart valve
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: To date, although clinical databases have been used to report on single centre or regional valve surgery outcomes, neither clinical nor administrative data have been used to examine rates of valve surgery use across large geographical regions. The objec-tive of the present study was to use administrative data to evaluate use of valve surgery over time and across Canada. METHODS: All cases of aortic valve replacement (AVR), mitral valve replacement (MVR), mitral valve repair (MV repair), com-bined AVR and coronary artery bypass grafting (CABG), and com-bined MVR/MV repair and CABG between fiscal years 1994/95 and 1999/2000 were identified using hospital discharge abstract data obtained from the Canadian Institute for Health Information. Age-and sex-adjusted rates of valve surgery were then calculated by province and by procedure type. RESULTS: Rates of valve surgery for all procedure types increased

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 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)0.004
metaresearch head score (Gemma)0.024
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.128
Threshold uncertainty score0.258

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0520.087
Science and technology studies0.0040.001
Scholarly communication0.0060.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0440.011

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 head0.143
GPT teacher head0.335
Teacher spread0.192 · 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

Citations0
Published2003
Admission routes1
Has abstractyes

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