AN EPIDEMIOLOGICAL REVIEW OF DENGUE IN PAKISTAN
Bibliographic record
Abstract
Dengue fever is a viral infection, transmitted by female Aedes Aegypti Mosquito, found in tropical and subtropical climates of the world. Virus has serotype DENV-1 to DENV-4. While the major syndromes include; DSS (Dengue Shock Syndrome), febrile flu-like illness, DHF (Dengue Hemorrhagic Fever), arthralgia, rash, raised ALT/ and AST, hemoconcentration and thrombocytopenia [1]. The second dengue episode is most dangerous and present abrupt onset of sever syndromes. The antigen antibody complexes lead to the cascade of immune reactions and activation of complement system the patient with pre-existing actively or passively acquired immunity to heterologous dengue virus serotype [2]. That makes about 25% mortality of patient if left untreated. It may become fatal in immunocompromised, blood cells deprived and old aged persons. It may also be seriously aggravated in tumor, malarial, blood and heart patients taking antineoplastic, anticoagulants and bone morrow suppressive drugs
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".