Correction: Effect of single-parent versus dual-parent households on dietary intake and growth among under-five children in Rwanda: an analysis using directed acyclic graph
Bibliographic record
Abstract
Correction: BMC Nutr 11, 128 (2025) Following the publication of the original article [1], the given and family names of all authors were incorrectly structured (switched). The correct presentation is given below: Joyeuse Ukwishaka1,2,3,4*, Sekou Samadoulougou3, Vincent Sezibera4, Fati Kirakoya-Samadoulougou 3 and Geneviève Lefebvre5. Old presentation: Ukwishaka Joyeuse1,2,3,4*, Samadoulougou Sekou3, Sezibera Vincent4, Kirakoya-Samadoulougou Fati3 and Lefebvre Geneviève5. The names have been corrected above and the original article [1] has been updated.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".