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The coding framework.

2025· article· en· W6923488064 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2025
Typearticle
Languageen
FieldHealth Professions
TopicMedical Coding and Health Information
Canadian institutionsnot available
Fundersnot available
KeywordsIntrapersonal communicationSocial supportCoding (social sciences)Exploratory researchMental healthDiseaseQuality of life (healthcare)Health care

Abstract

fetched live from OpenAlex

<div> Background Parkinson’s disease (PD) is a common neurodegenerative disorder that negatively impacts thousands of patients in Canada. The unexpected nature of PD is associated with a decline in mental health. The highest level of psychological stress occurs during the early years following the diagnosis. Objectives To understand the psychological stress associated with prognostic uncertainties in recently diagnosed PD patients, uncover the gaps in the current support systems, and recommend areas for improvement in the support services that aim to decrease the psychological stress associated with receiving the PD diagnosis. Methods An exploratory qualitative study was conducted using semi-structured interviews with 13 PD patients diagnosed for more than 6 months and less than 5 years. Participants were recruited from the Toronto Western Hospital Movement Disorders Clinic, Toronto, Ontario, Canada until saturation of key themes was reached. Results Five major themes were identified capturing the lived experiences of PD patients following diagnosis: 1) the circumstances of receiving the diagnosis and its psychological impact on PD patients, 2) the impact of intrapersonal factors on the PD journey, 3) the role of social relationships in PD patient’s life, 4) the interaction of PD patients with different elements of the healthcare system, and 5) support services available for recently diagnosed PD patients. Conclusions This study uncovers the psychological burden faced by PD patients due to prognostic uncertainties and insufficient support systems. It emphasizes the importance of a patient-centered approach for improving their quality of life and healthcare experiences through personalized support services. </div>

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)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.820
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0880.009

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 head0.362
GPT teacher head0.527
Teacher spread0.166 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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