RESEARCH Open Access Association of candidate g
Bibliographic record
Abstract
Full list of author information is available at the end of the articleBackground Malaria affects about one quarter of a billion people an-nually, with up to two-thirds of a million deaths still oc-curring per year, particularly in sub-Saharan African children below five years of age [1]. Why only a small proportion (1–3%) of Plasmodium falciparum infections progress to severe or fatal episodes [2] while others re-main asymptomatic or develop an uncomplicated illness is not yet fully understood. Epidemiological data indicate that about 25 % of the risk to Plasmodium infection in Africa is determined by human genetic factors [3]. Nevertheless, haemoglobin S, the strongest known re-sistance genetic factor, explains only 2 % of the total vari-ation [3], suggesting the existence of many unknown protective genes, each individually having small popula-tion effects. Single-nucleotide polymorphisms (SNPs)
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.400 | 0.146 |
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".