Additional file 1 of Days alive and out of hospital for adult female and male cardiac surgery patients: a population-based cohort study
Bibliographic record
Abstract
Additional file 1: Figure S1. Calculating days alive and out of hospital at 30-days (DAH30) Figure S2. Forest plot showing risk adjusted effects of patient, surgical and hospital factors on days at alive and out of hospital (DAH) at (A) 90 days and (B) 180 days for female and male patients. Table S1. Cardiac surgery procedure codes. Table S2. Descriptive characteristics of cardiac surgery patients stratified by sex and surgical group. Table S3. Risk adjusted analysis of days alive and out of hospital for 30-, 90- and 180-days after removal of complications. Table S4. Summary of analyses with interaction variable. Table S5. Characteristics of male and female patients above and below the 10th percentile. Table S6. Days alive and out of hospital at 30 and 90 days for subtypes of isolated non-CABG and combined surgery stratified by patient sex. Table S7. Risk adjusted effects of patient, surgical and hospital factors on days at alive and out of hospital (DAH) at 30-days for women and men undergoing A) single non-CABG and B) combined surgical procedures.
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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 | 0.000 |
| 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) | 0.398 | 0.035 |
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".