Additional file 1 of Impact of HIV exposure without infection on hospital course and mortality among young children in sub-Saharan Africa: a multi-site cohort study
Bibliographic record
Abstract
Additional file 1: Supplemental materials. Supplemental methods. Supplemental data Tables S1–S13. Table S1 Age stopped breastfeeding among HEU vs HUU children not breastfeeding at hospital admission. Table S2 Associations between inpatient mortality, HIV exposure, and key biologic variables. Table S3 Associations between 30-day mortality, HIV exposure, and key biologic variables. Table S4 Associations between wasting, HIV exposure, and key biologic variables. Table S5 Associations between stunting, HIV exposure, and key biologic variables. Table S6 Associations between prolonged hospital stay, HIV exposure, and key biologic variables. Table S7 Summary of total number of days on oxygen, NGT use, and experience of any danger sign. Table S8 Number of days on oxygen. Table S9 Number of days with NGT. Table S10 Antibiotics switch from first-line to second-/third-line antibiotic among HEU vs HUU children. Table S11 Associations between illness severity, HIV exposure, and key biologic variables. Table S12 Number of days with danger signs. Table S13 Experience of specific danger signs. Supplemental Figures 1–7. Fig. S1Directed acyclic graph illustrating hypothesized relationships between various clinical and sociodemographic variables, HIV exposure, and 30 day and inpatient mortality. Fig. S2 Directed acyclic graph illustrating hypothesized relationships between various clinical and sociodemographic variables, HIV exposure, and child nutritional status. Fig. S3 Histogram of duration of hospitalization by HIV exposure category. Fig. S4 Directed acyclic graph illustrating hypothesized relationships between various clinical and sociodemographic variables, HIV exposure, and hospital length of stay. Fig. S5 Directed acyclic graph illustrating hypothesized relationships between various clinical and sociodemographic variables, HIV exposure, and use of hospital resources and presence of danger signs. Fig. S6 Directed acyclic graph illustrating hypothesized relationships between various clinical and sociodemographic variables, HIV exposure, and illness severity at enrollment. Fig. S7 Directed acyclic graph illustrating hypothesized relationships between HIV exposure and study outcomes.
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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 | 0.015 |
| 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 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.603 | 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".