Replication Data for: Biomarkers of post-discharge mortality among children with complicated severe acute malnutrition
Bibliographic record
Abstract
This was a nested case control study within a clinical trial (NCT00934492) that tested the efficacy of daily co‐trimoxazole prophylaxis in reducing post‐discharge mortality among HIV‐uninfected children aged 2-59 months hospitalised with CSM in two urban (Mombasa and Nairobi) and two rural (Kilifi and Malindi) hospitals in Kenya. We investigated mechanisms underlying early post-discharge mortality (<60 days) using untargeted plasma proteome, targeted cytokines/chemokines, leptin, and soluble CD14 (sCD14) measured after hospital stabilisation (at discharge). Data package includes: Njunge_Sci_Rep_s41598-019-42436-y.dta and (b) Njunge_Sci_Rep_s41598-019-42436-y.csv: Both files contain similar information. The files contains anthropometric at the time of hospital discharge for study children. It also contains full blood count at enrolment. Anthropometric z scores calculated using 2006 WHO growth references. Study data were entered into OpenClinical trial database. After locking the trial database, the data were extracated and exported to STATA Version 15.1 for statistical analysis. Njunge_Sci_Rep_s41598-019-42436-y.do This analysis script is used to generate the summary participants characteristics at enrolment and conduct regression analysis. Data Dictionary: contains variable descriptions and value labels
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.
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 | 0.012 | 0.063 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.107 | 0.020 |
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".