Studies on <i>Armigeres subalbatus</i> Mosquitoes in Tribal and Non-tribal Areas of Bankura District, West Bengal, India
Bibliographic record
Abstract
Armigeres subalbatus is known to be the vector of parasites for many human diseases like malaria, Japanese encephalitis, filariasis etc. Indoor-resting and man-landing collections were made for one year both from tribal and non-tribal areas of Bankura district, West Bengal, India. In tribal area indoor-resting collection of Ar. subalbatus in one year was only 18 (1.65% of the total catch) with man-hour density (MHD) of 0.38 and in non-tribal area the figure was 489 (14.82%) with MHD of 10.19. A total of 37 Ar. subalbatus (0.62% of total catch) with MHD of 0.06 were caught off man baits from indoor and outdoor locations in tribal area and the number was 3177 (16.71%) in non-tribal areas with MHD of 5.52. Indoor-resting and man-landing collections were highest in October in tribal area and in April in non-tribal area. The maximum number of Ar. subalbatus came in contact with man in first and fourth quadrants of both day and night. No human parasite including filarial one was detected within this mosquito throughout the year long study period (August 2009 - July 2010) in both the areas.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".