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Record W4297517723 · doi:10.21203/rs.3.rs-2002780/v1

Characterization of functioning in breast cancer survivors: an interpretive descriptive analysis study based on the international classification of functioning, disability, and health (ICF) and the Item-Perspective Classification Framework

2022· preprint· en· W4297517723 on OpenAlexaff
Farkhondeh Jamshidi, Maryam Farzad, Joy C. MacDermid, Seyed Ali Hosseini, Mojtaba Habibi, Azin Alizadehasl

Bibliographic record

VenueResearch Square · 2022
Typepreprint
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsWestern University
Fundersnot available
KeywordsInternational Classification of Functioning, Disability and HealthPerspective (graphical)Descriptive statisticsBreast cancerPsychologyMedicineCancerPhysical therapyRehabilitationArtificial intelligenceComputer scienceStatisticsInternal medicine

Abstract

fetched live from OpenAlex

<title>Abstract</title> Purpose Breast cancer survivors experience a range of disabilities compromise their independent function. This study aimed to examine their perspectives and experts on their functioning and interpret concepts with the international classification of functioning, disability, and health (ICF) and the Item-Perspective Classification Framework (IPF). Methods Interpretive descriptive methods were used with in-depth interviewing with 16 breast cancer survivors and 22 experts using a semi-structured interview guide. The interviews were recorded, transcribed, and qualitatively analyzed using thematic analysis. The extracted data were linked to the ICF Core Set for Breast cancer and were interpreted by the IPF. Results Four main themes emerged to define the functioning of BC survivors: body functioning, physical functioning, social functioning, and mental functioning. Three other factors were also categorized as modifiers of functioning personal, emotional, and environmental. The 592 extracted meaningful concepts were linked to 38 (47%) categories from the ICF: 16 Body Functions, 14 Activities and Participation, and 8 Environmental Factors. The IPF classified all the extracted concepts, and most rational appraisals fell in the biological (B) domain. The concepts that required emotional appraisal were classified in Psychology (P). Conclusion Psychological and emotional factors were pivotal in defining functioning in patients with BC.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.152
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.099
GPT teacher head0.419
Teacher spread0.320 · 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 teacher head, 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

Citations3
Published2022
Admission routes1
Has abstractyes

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