Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: Prevention, early detection and treatment of acute illnesses and the comprehensive management of chronic conditions are important aspects of continuing care for older persons. Due to the costs and inherent risks of hospitalization, efforts to reduce avoidable hospitalizations from continuing care are important. One approach for measuring avoidable hospitalizations is to identify conditions for which hospitalization is considered preventable with appropriate primary care, such as ambulatory care-sensitive conditions (ACSC). This approach has been widely applied in community-based populations and has recently been extended to continuing care settings in the U.S. This investigation aimed to develop an indicator of potentially avoidable hospitalizations (PAH) to serve as a flag of the quality of preventive care for older continuing care residents in Canada. Methods: A nine-member expert panel was convened to develop a consensus-based definition of PAH based on the ACSC approach. The refined PAH measure was applied to linked administrative hospital and continuing care data from Ontario, held at the
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.
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 | 0.000 |
| 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 it