Viral endosymbiotic infection of protozoan parasites: How it influences the development of cutaneous leishmaniasis
Bibliographic record
Abstract
The pervasiveness of viral infectious agents, capable of parasitizing living organisms all along the evolutionary spectrum, has obligated hosts to evolve defense mechanisms that control viral infection.Elucidation of host-pathogen interactions in model organisms has been fundamental to the translational understanding of human antiviral immunity.Lower organisms such as unicellular prokaryotes and eukaryotes have been shown to act as viral hosts and, in many cases, overcome infection via primitive immune mechanisms.The most widely studied example of this is the CRISPR/Cas system-a restriction mechanism in bacteria and archaea against highly specific viruses known as bacteriophages [1].This seminal discovery has led to important advances in genetic engineering and has increased interest in viruses that infect unicellular organisms, notably those that are pathogenic to humans, and has led to an emerging role of viruses in this triangular host-pathogen interaction [2].
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".