The first detection of Babesia genotype from tick at Alataw Pass, China-Kazakhstan border
Bibliographic record
Abstract
Objective To investigate the infection state and genotype of Babesia from tick at Alataw port, the China-Kazakhstan border. Methods Drag-flag method and animal body surface method were used to collect ticks at Ebinur Lake wetland, Alataw port. 18s rRNA gene of Babesia was tested by polymerase chain reaction (PCR), the sequence analysis was conducted with Blast and phylogenetic analysis was conducted with Mega 6.0. Results The positive rate of Babesia gene in ticks was 12.65% (32/253) at Alataw port. By sequencing, 32 sequences were divided in ALSK174, ALSK191, ALSK019 three groups. Analysis of Blast showed that ALSK174 had the highest homology with Babesia caballi (EU888904, South Africa), it was 99.72% (356/357); ALSK191 had the highest homology with Babesia occultans (KP745626, Turkey), it was 99.72% (350/351); ALSK019 had 95.76% (339/354) homology with Babesia odocoilei (KC460321, Canada). Conclusion In this study, we have first reported that the Babesia is infected from ticks at Alataw port, the China-Kazakhstan border. Key words: Babesia; Hyalomma asiaticum asiaticum; Haemaphysalis erinacei; Polymerase chain reaction
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".