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Record W4382050099 · doi:10.22374/cjgim.v18i2.681

Exploring the Comparative Roles of a Canadian Primary Care and Tertiary Care Heart Function Clinic

2023· article· en· W4382050099 on OpenAlexaffvenueabout
Karen Geukers, Stephanie Hinton, George Heckman, Karen Harkness, Neville Suskin, Tim Hartley, Eva Lonn, Shvan Korseed, Robert S. McKelvie

Bibliographic record

VenueCanadian Journal of General Internal Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsMcMaster UniversityUniversity of WaterlooWestern University
FundersServier
KeywordsMedicinePrimary careReferralTertiary careGerontologyHumanitiesFamily medicine

Abstract

fetched live from OpenAlex

Heart function clinics (HFCs) are a cornerstone of heart failure management, yet they remain largely integrated into tertiary care environments, with few HFCs existing in the primary care community. This study examined the roles of HFCs in each setting by exploring referral patterns, the patient populations, outcomes, provision of care, and how each clinic aligned with the Canadian Cardiovascular Society Heart Failure national quality indicators. The clinical characteristics of patients at both sites revealed a high level of disease comorbidity and complexity, although referral and discharge patterns differed markedly. Both sites reasonably achieved quality patient care. There are unique roles for HFCs in each setting, which supports the further creation of specialized heart failure centres within the community in alignment with the proposed spoke-hub-node integrated care model.

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)0.006
metaresearch head score (Gemma)0.019
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 score0.062
Threshold uncertainty score0.453

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.004
Science and technology studies0.0060.002
Scholarly communication0.0040.001
Open science0.0020.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.098
GPT teacher head0.305
Teacher spread0.207 · 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

Citations1
Published2023
Admission routes3
Has abstractyes

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