Additional file 1 of Transitions in health care settings for frequent and infrequent users of emergency departments: a population-based retrospective cohort study
Bibliographic record
Abstract
Additional file 1: Supplementary Table 1. Diagnosis categories. Supplementary Table 2. Characteristics of HSUs and controls by provinces. Supplementary Table 3. Characteristics of Alberta patients and events at the different transitions. Supplementary Table 4. Characteristics of Ontario patients and events at the different transitions. Supplementary Table 5. Diagnoses at the ED to community, ED to hospital, hospital to community, ED to death, and hospital to death transitions. Supplementary Table 6. Hazard ratios (HRs) and associated 95% confidence intervals (CIs) for multivariable models for the transitions from community. Supplementary Table 7. Hazard ratios (HRs) and associated 95% confidence intervals (CIs) for multivariable models for the transitions to death. Supplementary Table 8. Hazard ratios (HRs) and associated 95% confidence intervals (CIs) for multivariable models for the transitions to ED to community, ED to hospital, and hospital to community: variables not related to diagnosis. Supplementary Table 9. Hazard ratios (HRs) and associated 95% confidence intervals (CIs) for multivariable models for the transitions to ED to community, ED to hospital, and hospital to community: variables related to diagnosis. Supplementary Figure 1. Ratio of HSU vs control hazard ratios and associated 95% confidence intervals for the ED to death transition. Reference categories are Ontario, female, combined medium-low to highest income quintile, large urban area, and family physician or other health care provider. Supplementary Figure 2. Ratio of HSU vs control hazard ratios and associated 95% confidence intervals for the hospital to death transition. Reference categories are Ontario, female, combined medium-low to highest income quintile, large urban area, and family physician or other health care provider. Supplementary Figure 3. Ratio of HSU vs control hazard ratios and associated 95% confidence intervals for the hospital to community transition (key diagnostic groups presented). Reference categories are Ontario, female, combined medium-low to highest income quintile, large urban area, family physician or other health care provider, and diagnoses other than those presented in Supplementary Table 9. Supplementary Figure 4. Ratio of HSU vs control hazard ratios and associated 95% confidence intervals for the community to hospital transition. Reference categories are Ontario, female, combined medium-low to highest income quintile, large urban area, and family physician or other health care provider. Supplementary Figure 5. Cummulative hazard function estimates for HSUs and controls (CON) for the different state transitions.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.393 | 0.024 |
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".