DETECTION OF COGNITIVE FRAILTY WITH THE COMPREHENSIVE FRAILTY ASSESSMENT INSTRUMENT
Bibliographic record
Abstract
The Comprehensive Frailty Assessment Instrument (CFAI) measures four domains of frailty: physical, psychological, social and environmental frailty. The absence of cognitive frailty can be seen as a shortage. Therefore we conducted a study in which we administered to 355 older adults (mean age 77.62) the CFAI, The Montreal Cognitive Assessment (MoCA) and 6 questions about cognition that were chosen by an expert panel and based on the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE). Based on multivariate analysis with SIMCA software and Receiver operating curves two uninformative questions were excluded. The sum of the four remaining questions forms the new cognitive frailty domain. This domain shows good concurrent validity with the MoCA and with the added questions the reliability of the CFAI remains good (Cronbach’s alpha: .789). So in sum, cognitive frailty can be added to the CFAI.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".