Global Warming and Its Effect on Flow in Ganga River
Bibliographic record
Abstract
In this work, water flow in the Ganga River has been analyzed based on the available data starting from the year 1850 to the average of years 2002 to 2006 at Farakka in West Bengal. The flow has been related with rainfall data in the Ganga basin starting in the year 1980, and the average rainfall data in the years 2002 to 2006. The year 1980 has been chosen based on the fact that after this year the global warming trend has increased (Adhikari and Huybrechts, 2009). The location at Farakka has been chosen to incorporate the contributions of entire Himalayan glaciers in enhancing the flow of Ganga upstream of Farakka. This way, the results have been presented to include the effects of glaciers melting at the source of Ganga and also the contributions of other rivers which are tributaries of Ganga. The result shows that there is significant effect of global warming on melting of Himalayan glaciers and the flow rate of Ganga.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".