Bibliographic record
Abstract
In this paper, we propose an extension to a generic model developed for elaborating person's lifestyle patterns and changes in those patterns which could be related to health decline. The baseline model aims at a better understanding of the behaviours engaged in various housing contexts such as conventional housing or Assisted Living (AL) facilities and exploring irregularities within the life rhythm of the resident's everyday life activities. The model, embedded into a customized software program, has been extended to predict the progression of a particular activity on the basis of a circadian period (24- hour period) in order to detect unexpected events such as slowdowns or disruptions which could indicate changes in health status, cognitive or motor impairments. The objective is to help caregivers provide better assessment of functional health status and preventative assistance. A case study, elaborated through software simulations, is presented to show the potential of the software application to determine life patterns in conjunction with activity trend indicators that may indicate health deterioration. (4 pages)
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".