Additional file 1 of Resident loneliness, social isolation and unplanned emergency department visits from supportive living facilities: a population-based study in Alberta, Canada
Bibliographic record
Abstract
Additional file 1: Supplementary Table 1. Continuing care system use by all SL residents in Alberta, Canada between April 1, 2013 and March 31, 2018 by loneliness and social isolation. Supplementary Table 2. Characteristics, functional status, and disease diagnoses of all SL3 residents in Alberta, Canada between April 1, 2013 and March 31, 2018 by loneliness and social isolation. Supplementary Table 3. Social functioning and support for all SL3 residents from Alberta, Canada between April 1, 2013 and March 31, 2018 by loneliness and social isolation. Supplementary Table 4. Health system use by all SL3 residents from Alberta, Canada between April 1, 2013 and March 31, 2018 by loneliness and social isolation. Supplementary Table 5. Characteristics, functional status, and disease diagnoses of all SL4 residents in Alberta, Canada between April 1, 2013 and March 31, 2018 by loneliness and social isolation. Supplementary Table 6. Social functioning and support for all SL4 residents in Alberta, Canada between April 1, 2013 and March 31, 2018 by loneliness and social isolation. Supplementary Table 7. Health system use by all SL4 residents in Alberta, Canada between April 1, 2013 and March 31, 2018 by loneliness and social isolation. Supplementary Table 8. Characteristics, functional status, and disease diagnoses of all SL4D residents in Alberta, Canada between April 1, 2013 and March 31, 2018 by loneliness and social isolation. Supplementary Table 9. Social functioning and support for all SL4D residents in Alberta, Canada between April 1, 2013 and March 31, 2018 by loneliness and social isolation. Supplementary Table 10. Health system use by all SL4D residents in Alberta, Canada between April 1, 2013 and March 31, 2018 by loneliness and social isolation.
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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 | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.009 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.277 | 0.014 |
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".