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Record W4234492104 · doi:10.32920/ryerson.14668872.v2

A Canadian perception of the nursing practice, research, and theoretical implications associated with Autologous Cell Transplantation

2021· preprint· en· W4234492104 on OpenAlexaboutno aff
Suzanne Fredericks, Monica Da Silva

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMedicine
TopicCardiac Structural Anomalies and Repair
Canadian institutionsnot available
Fundersnot available
KeywordsHeart failureTransplantationHeart transplantationPerceptionMedicineIntensive care medicineNursing practiceClinical PracticeNursingPsychologySurgeryCardiologyNeuroscience

Abstract

fetched live from OpenAlex

Heart failure is a progressive disorder. An estimated 400,000 Canadians are diagnosed annually with heart failure, and a quarter experience severe heart failure that is unresponsive to medical therapy. Autologous cell transplantation (ACT) has been proposed as a new approach for cardiac repair, and holds enormous potential for the regeneration of injured myocardium cells. Currently, ACT is under investigation in Canada. The use of ACT as a treatment alternative for heart failure patients has been established over the past 5 years across Europe and the United States. This paper will present a Canadian perception of the nursing practice, research, and theoretical implications associated with this new and innovative therapy.

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)0.017
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.149
Threshold uncertainty score0.988

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.031
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.004
Science and technology studies0.0350.024
Scholarly communication0.0130.003
Open science0.0020.007
Research integrity0.0050.010
Insufficient payload (model declined to judge)0.0060.000

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 head0.018
GPT teacher head0.324
Teacher spread0.306 · 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 designQualitative
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
Published2021
Admission routes1
Has abstractyes

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