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EFFECT OF A COMPREHENSIVE CARDIAC REHABILITATION PROGRAM ON CARDIAC-RELATED EVENTS IN SUBJECTS OF ADVANCED AGE

2005· article· en· W2074553564 on OpenAlexaboutno aff
Patrick Dunn, Miguel Gambetta, Ross Arena

Bibliographic record

VenueJournal of Cardiopulmonary Rehabilitation · 2005
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRehabilitationPhysical therapyPhysical medicine and rehabilitationCardiology

Abstract

fetched live from OpenAlex

JCRP was the first, and remains the only, professional journal dedicated to improving multidisciplinary clinical practice and expanding research evidence specific to both cardiovascular and pulmonary rehabilitation. This includes exercise testing and prescription, behavioral medicine, and cardiopulmonary risk factor management. In 2007, JCRP expanded its scope to include primary prevention of cardiovascular and pulmonary diseases. JCRP publishes scientific and clinical peer-reviewed Original Investigations, Reviews, and Brief or Case Reports focused on the causes, prevention, and treatment of individuals with cardiovascular or pulmonary diseases in both a print and online-only format. Editorial features include Editorials, Invited Commentaries, Literature Updates, and Clinically-relevant Topical Updates. JCRP is the official Journal of the American Association of Cardiovascular and Pulmonary Rehabilitation and the Canadian Association of Cardiac Rehabilitation.

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)0.000
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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.007
GPT teacher head0.328
Teacher spread0.321 · 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 designNon-randomized trial
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
Published2005
Admission routes1
Has abstractyes

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