Additional file 1 of Effect of the free healthcare policy on socioeconomic inequalities in care seeking for fever in children under five years in Burkina Faso: a population-based surveys analysis
Bibliographic record
Abstract
Additional file 1: Annex 1. Region specific analysis of concentration curves of care-seeking for children under 5 years, 2010-2018. Annex 1a. Concentration curves of healthcare-seeking for children under 5 years in Centre region, 2010-2018. Annex 1b. Concentration curves of healthcare-seeking for children under 5 years in Boucle de Mouhoun, 2010-2018. Annex 1c. Concentration curves of healthcare-seeking for children under 5 years in Sud-Ouest region, 2010-2018. Annex 1d. Concentration curves of healthcare-seeking for children under 5 years in Cascades region, 2010-2018. Annex 1e. Concentration curves of healthcare-seeking for children under 5 years in Centre-Est region, 2010-2018. Annex 1f. Concentration curves of healthcare-seeking for children under 5 years in Centre-Nord region, 2010-2018. Annex 1g. Concentration curves of healthcare-seeking for children under 5 years in Centre-Ouest region, 2010-2018. Annex 1h. Concentration curves of healthcare-seeking for children under 5 years in Centre-Sud region, 2010-2018. Annex 1i. Concentration curves of healthcare-seeking for children under 5 years in Est region, 2010-2018. Annex 1j. Concentration curves of healthcare-seeking for children under 5 years in Hauts Bassins region, 2010-2018. Annex 1k. Concentration curves of healthcare-seeking for children under 5 years in Nord region, 2010-2018. Annex 1l. Concentration curves of healthcare-seeking for children under 5 years in Plateau Central region, 2010-2018. Annex 1m. Concentration curves of healthcare-seeking for children under 5 years in Sahelregion, 2010-2018.
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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 | 0.021 |
| 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 | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.411 | 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".