Additional file 1 of Molecular drivers of insecticide resistance in the Sahelo-Sudanian populations of a major malaria vector Anopheles coluzzii
Bibliographic record
Abstract
Additional file 1: Fig. S1 Sampling sites in the Sahel region of four countries. Fig. S2 Summary of total number of RNAseq reads, distribution of trimmed read length for paired reads, and unpaired read after trimming. Fig S3 Venn diagrams comparing summary of the differentially expressed genes between resistant, unexposedand susceptiblesamples. Fig. S4 Principal component analysis of the 500 most variable genes from all RNAseq experimental arms in the data from the four countries. Fig. S5 A heatmap showing the top 50 overexpressed genes in An. coluzzii populations from the Sahel region of each country. Fig. S6 Revigo Scatter and Table Views of the GO terms over-represented in all comparisonsfor data from the four countries. Fig. S7 Validation of RNA-seq results using qRT-PCR. Fig. S8 Polymorphism analysis of full-length cDNA of CYP6Z2. Fig. S9 Comparative alignment of the GSTe2 5′-UTR fragments from the various haplotypes. Fig. S10 Genetic variability of the GSTe2 5′-UTR fragments. Fig. S11 qRT-PCR validation of the overexpression of GSTe2 and CYP6Z2.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.850 | 0.134 |
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".