Molecular characterization of the <i>Cryptosporidium</i> cervine genotype
Bibliographic record
Abstract
In this study, the 27 kDa immunodominant antigen (CP23), 70 kDa heat shock protein (HSP70), actin and beta-tubulin genes were amplified and sequenced for the first time from human isolates of Cryptosporidium cervine genotype. New primers were designed from reported sequences of other Cryptosporidium species and genotypes as well as the whole genome sequences of C. parvum and C. hominis, which enabled novel gene sequences and regions extending beyond those deposited in GenBank to be determined. In comparison with other species in the Cryptosporidium genus, multiple sequence alignment and phylogenetic analysis revealed that the Cryptosporidium cervine genotype isolates from humans clustered most closely with Cryptosporidium deer mouse genotype and C. suis (n. sp. formerly pig genotype I). The complete coding sequence of CP23 was determined to reveal low (72.4% and 68.0-69.8% respectively) identity to C. parvum and C. hominis sequences and the presence of a unique multiple proline-alanine-proline-valine (PAPV) repeat region.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".