Bibliographic record
Abstract
Kumbh Mela happens in Nasik city after every 12 Years, but before AD 1770 Kumbh Mela use to be organized in Kapil dhara tirth, Kavnai which is situated 50 Km from Nasik in Igatpuri Taluka.After AD 1770 the Peshwas shifted the kumbh mela to Nasik and Trimbakeshwar.To Assess the present water state of tirth in the month June 2013, Total coli form (TC) and faecal coli form (FC) bacteria were analyzed from ten samples which was collected from Kapildhara tirth, Kavani.Total solids (TS), Total Dissolved solids (TDS), Residual chlorine and pH of water samples were also determined.For bacteriological analysis inductively membrane filtration (MF) method was used for total coli form (TC) as well as faecal (FC) coli form bacteria.All samples were found contaminated with total coli form (TC) and faecal coli form (FC) and the counts were higher than the maximum microbial contaminant level (MMCL) established by World Health Organization (WHO).It was observed that pH was within the limits of WHO standard (6.5-8.5).The residual chlorine was rarely detected in any sample of water.Bacteriologically the water quality of the water was found to not good.
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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.953 | 0.961 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".